From d1306ed4cae1c59f4194f59dde6b26c98c340419 Mon Sep 17 00:00:00 2001
From: Md Mijanur Rahman <md.rahman@fau.de>
Date: Sun, 17 Mar 2024 11:00:16 +0100
Subject: [PATCH] a new mlruns instance added

---
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../artifacts/classification_report.json      |  27 +++
 .../artifacts/model_params.json               |   9 +
 .../meta.yaml                                 |  15 ++
 .../metrics/accuracy                          |   1 +
 .../metrics/f1                                |   1 +
 .../metrics/macro_f1_score                    |   1 +
 .../metrics/precision                         |   1 +
 .../metrics/recall                            |   1 +
 .../metrics/support                           |   1 +
 .../params/epochs                             |   1 +
 .../params/lr                                 |   1 +
 .../params/model_name                         |   1 +
 .../tags/mlflow.runName                       |   1 +
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 .../2024-03-17/10-45-20/0/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/0/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/0/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/0/main.log       |   0
 .../2024-03-17/10-45-20/1/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/1/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/1/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/1/main.log       |   0
 .../2024-03-17/10-45-20/10/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/10/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/10/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/10/main.log      |   0
 .../2024-03-17/10-45-20/11/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/11/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/11/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/11/main.log      |   0
 .../2024-03-17/10-45-20/12/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/12/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/12/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/12/main.log      |   0
 .../2024-03-17/10-45-20/13/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/13/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/13/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/13/main.log      |   0
 .../2024-03-17/10-45-20/14/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/14/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/14/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/14/main.log      |   0
 .../2024-03-17/10-45-20/15/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/15/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/15/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/15/main.log      |   0
 .../2024-03-17/10-45-20/16/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/16/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/16/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/16/main.log      |   0
 .../2024-03-17/10-45-20/17/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/17/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/17/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/17/main.log      |   0
 .../2024-03-17/10-45-20/18/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/18/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/18/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/18/main.log      |   0
 .../2024-03-17/10-45-20/19/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/19/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/19/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/19/main.log      |   0
 .../2024-03-17/10-45-20/2/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/2/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/2/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/2/main.log       |   0
 .../2024-03-17/10-45-20/20/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/20/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/20/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/20/main.log      |   0
 .../2024-03-17/10-45-20/21/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/21/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/21/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/21/main.log      |   0
 .../2024-03-17/10-45-20/22/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/22/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/22/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/22/main.log      |   0
 .../2024-03-17/10-45-20/23/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/23/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/23/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/23/main.log      |   0
 .../2024-03-17/10-45-20/24/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/24/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/24/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/24/main.log      |   0
 .../2024-03-17/10-45-20/25/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/25/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/25/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/25/main.log      |   0
 .../2024-03-17/10-45-20/26/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/26/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/26/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/26/main.log      |   0
 .../2024-03-17/10-45-20/27/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/27/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/27/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/27/main.log      |   0
 .../2024-03-17/10-45-20/28/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/28/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/28/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/28/main.log      |   0
 .../2024-03-17/10-45-20/29/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/29/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/29/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/29/main.log      |   0
 .../2024-03-17/10-45-20/3/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/3/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/3/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/3/main.log       |   0
 .../2024-03-17/10-45-20/30/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/30/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/30/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/30/main.log      |   0
 .../2024-03-17/10-45-20/31/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/31/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/31/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/31/main.log      |   0
 .../2024-03-17/10-45-20/32/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/32/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/32/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/32/main.log      |   0
 .../2024-03-17/10-45-20/33/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/33/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/33/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/33/main.log      |   0
 .../2024-03-17/10-45-20/34/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/34/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/34/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/34/main.log      |   0
 .../2024-03-17/10-45-20/35/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/35/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/35/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/35/main.log      |   0
 .../2024-03-17/10-45-20/36/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/36/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/36/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/36/main.log      |   0
 .../2024-03-17/10-45-20/37/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/37/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/37/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/37/main.log      |   0
 .../2024-03-17/10-45-20/38/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/38/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/38/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/38/main.log      |   0
 .../2024-03-17/10-45-20/39/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/39/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/39/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/39/main.log      |   0
 .../2024-03-17/10-45-20/4/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/4/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/4/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/4/main.log       |   0
 .../2024-03-17/10-45-20/40/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/40/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/40/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/40/main.log      |   0
 .../2024-03-17/10-45-20/41/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/41/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/41/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/41/main.log      |   0
 .../2024-03-17/10-45-20/42/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/42/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/42/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/42/main.log      |   0
 .../2024-03-17/10-45-20/43/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/43/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/43/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/43/main.log      |   0
 .../2024-03-17/10-45-20/44/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/44/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/44/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/44/main.log      |   0
 .../2024-03-17/10-45-20/45/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/45/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/45/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/45/main.log      |   0
 .../2024-03-17/10-45-20/46/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/46/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/46/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/46/main.log      |   0
 .../2024-03-17/10-45-20/47/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/47/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/47/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/47/main.log      |   0
 .../2024-03-17/10-45-20/48/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/48/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/48/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/48/main.log      |   0
 .../2024-03-17/10-45-20/49/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/49/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/49/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/49/main.log      |   0
 .../2024-03-17/10-45-20/5/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/5/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/5/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/5/main.log       |   0
 .../2024-03-17/10-45-20/50/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/50/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/50/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/50/main.log      |   0
 .../2024-03-17/10-45-20/51/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/51/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/51/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/51/main.log      |   0
 .../2024-03-17/10-45-20/52/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/52/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/52/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/52/main.log      |   0
 .../2024-03-17/10-45-20/53/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/53/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/53/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/53/main.log      |   0
 .../2024-03-17/10-45-20/54/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/54/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/54/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/54/main.log      |   0
 .../2024-03-17/10-45-20/55/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/55/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/55/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/55/main.log      |   0
 .../2024-03-17/10-45-20/56/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/56/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/56/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/56/main.log      |   0
 .../2024-03-17/10-45-20/57/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/57/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/57/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/57/main.log      |   0
 .../2024-03-17/10-45-20/58/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/58/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/58/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/58/main.log      |   0
 .../2024-03-17/10-45-20/59/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/59/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/59/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/59/main.log      |   0
 .../2024-03-17/10-45-20/6/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/6/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/6/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/6/main.log       |   0
 .../2024-03-17/10-45-20/60/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/60/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/60/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/60/main.log      |   0
 .../2024-03-17/10-45-20/61/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/61/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/61/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/61/main.log      |   0
 .../2024-03-17/10-45-20/62/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/62/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/62/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/62/main.log      |   0
 .../2024-03-17/10-45-20/63/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/63/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/63/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/63/main.log      |   0
 .../2024-03-17/10-45-20/64/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/64/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/64/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/64/main.log      |   0
 .../2024-03-17/10-45-20/65/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/65/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/65/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/65/main.log      |   0
 .../2024-03-17/10-45-20/66/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/66/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/66/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/66/main.log      |   0
 .../2024-03-17/10-45-20/67/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/67/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/67/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/67/main.log      |   0
 .../2024-03-17/10-45-20/68/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/68/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/68/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/68/main.log      |   0
 .../2024-03-17/10-45-20/69/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/69/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/69/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/69/main.log      |   0
 .../2024-03-17/10-45-20/7/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/7/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/7/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/7/main.log       |   0
 .../2024-03-17/10-45-20/70/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/70/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/70/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/70/main.log      |   0
 .../2024-03-17/10-45-20/71/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/71/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/71/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/71/main.log      |   0
 .../2024-03-17/10-45-20/72/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/72/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/72/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/72/main.log      |   0
 .../2024-03-17/10-45-20/73/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/73/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/73/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/73/main.log      |   0
 .../2024-03-17/10-45-20/74/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/74/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/74/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/74/main.log      |   0
 .../2024-03-17/10-45-20/75/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/75/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/75/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/75/main.log      |   0
 .../2024-03-17/10-45-20/76/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/76/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/76/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/76/main.log      |   0
 .../2024-03-17/10-45-20/77/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/77/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/77/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/77/main.log      |   0
 .../2024-03-17/10-45-20/78/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/78/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/78/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/78/main.log      |   0
 .../2024-03-17/10-45-20/79/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/79/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/79/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/79/main.log      |   0
 .../2024-03-17/10-45-20/8/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/8/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/8/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/8/main.log       |   0
 .../2024-03-17/10-45-20/80/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/80/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/80/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/80/main.log      |   0
 .../2024-03-17/10-45-20/81/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/81/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/81/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/81/main.log      |   0
 .../2024-03-17/10-45-20/82/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/82/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/82/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/82/main.log      |   0
 .../2024-03-17/10-45-20/83/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/83/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/83/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/83/main.log      |   0
 .../2024-03-17/10-45-20/84/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/84/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/84/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/84/main.log      |   0
 .../2024-03-17/10-45-20/85/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/85/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/85/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/85/main.log      |   0
 .../2024-03-17/10-45-20/86/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/86/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/86/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/86/main.log      |   0
 .../2024-03-17/10-45-20/87/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/87/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/87/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/87/main.log      |   0
 .../2024-03-17/10-45-20/88/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/88/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/88/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/88/main.log      |   0
 .../2024-03-17/10-45-20/89/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/89/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/89/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/89/main.log      |   0
 .../2024-03-17/10-45-20/9/.hydra/config.yaml  |  21 ++
 .../2024-03-17/10-45-20/9/.hydra/hydra.yaml   | 191 ++++++++++++++++++
 .../10-45-20/9/.hydra/overrides.yaml          |   9 +
 multirun/2024-03-17/10-45-20/9/main.log       |   0
 .../2024-03-17/10-45-20/90/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/90/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/90/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/90/main.log      |   0
 .../2024-03-17/10-45-20/91/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/91/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/91/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/91/main.log      |   0
 .../2024-03-17/10-45-20/92/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/92/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/92/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/92/main.log      |   0
 .../2024-03-17/10-45-20/93/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/93/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/93/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/93/main.log      |   0
 .../2024-03-17/10-45-20/94/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/94/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/94/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/94/main.log      |   0
 .../2024-03-17/10-45-20/95/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/95/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/95/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/95/main.log      |   0
 .../2024-03-17/10-45-20/96/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/96/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/96/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/96/main.log      |   0
 .../2024-03-17/10-45-20/97/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/97/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/97/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/97/main.log      |   0
 .../2024-03-17/10-45-20/98/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/98/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/98/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/98/main.log      |   0
 .../2024-03-17/10-45-20/99/.hydra/config.yaml |  21 ++
 .../2024-03-17/10-45-20/99/.hydra/hydra.yaml  | 191 ++++++++++++++++++
 .../10-45-20/99/.hydra/overrides.yaml         |   9 +
 multirun/2024-03-17/10-45-20/99/main.log      |   0
 .../10-45-20/optimization_results.yaml        |  10 +
 2101 files changed, 28610 insertions(+)
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/meta.yaml
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/f1
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/precision
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/recall
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/support
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/epochs
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/lr
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/model_name
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/meta.yaml
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/f1
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/precision
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/recall
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/support
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/epochs
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/lr
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/model_name
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/meta.yaml
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/f1
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/precision
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/recall
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/support
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/epochs
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/lr
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/model_name
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/meta.yaml
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/f1
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/precision
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/recall
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/support
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/epochs
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/lr
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/model_name
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/meta.yaml
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/f1
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/precision
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/recall
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/support
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/epochs
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/lr
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/model_name
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/meta.yaml
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/f1
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/precision
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/recall
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/support
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/epochs
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/lr
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/model_name
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/meta.yaml
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/f1
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/precision
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/recall
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/support
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/epochs
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/lr
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/model_name
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/meta.yaml
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/f1
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/precision
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/recall
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/support
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/epochs
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/lr
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/model_name
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/meta.yaml
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/f1
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/precision
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/recall
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/support
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/epochs
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/lr
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/model_name
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/meta.yaml
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/f1
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/precision
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/recall
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/support
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/epochs
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/lr
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/model_name
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/meta.yaml
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/f1
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/precision
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/recall
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/support
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/epochs
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/lr
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/model_name
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/meta.yaml
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/f1
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/precision
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/recall
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/support
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/epochs
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/lr
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/model_name
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/meta.yaml
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/f1
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/precision
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/recall
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/support
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/epochs
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/lr
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/model_name
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/meta.yaml
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/f1
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/precision
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/recall
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/support
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/epochs
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/lr
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/model_name
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/meta.yaml
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/f1
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/precision
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/recall
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/support
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/epochs
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/lr
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/model_name
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/meta.yaml
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/f1
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/precision
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/recall
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/support
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/epochs
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/lr
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/model_name
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/meta.yaml
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/f1
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/precision
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/recall
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/support
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/epochs
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/lr
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/model_name
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/meta.yaml
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/f1
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/precision
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/recall
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/support
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/epochs
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/lr
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/model_name
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/meta.yaml
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/f1
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/precision
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/recall
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/support
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/epochs
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/lr
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/model_name
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/meta.yaml
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/f1
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/precision
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/recall
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/support
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/epochs
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/lr
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/model_name
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/meta.yaml
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/f1
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/precision
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/recall
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/support
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/epochs
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/lr
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/model_name
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/meta.yaml
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/f1
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/precision
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/recall
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/support
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/epochs
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/lr
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/model_name
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/meta.yaml
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/f1
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/precision
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/recall
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/support
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/epochs
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/lr
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/model_name
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/meta.yaml
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/f1
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/precision
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/recall
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/support
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/epochs
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/lr
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/model_name
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/meta.yaml
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/f1
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/precision
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/recall
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/support
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/epochs
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/lr
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/model_name
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/meta.yaml
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/f1
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/precision
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/recall
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/support
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/epochs
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/lr
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/model_name
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/meta.yaml
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/f1
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/precision
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/recall
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/support
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/epochs
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/lr
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/model_name
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/meta.yaml
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/f1
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/precision
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/recall
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/support
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/epochs
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/lr
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/model_name
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/meta.yaml
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/f1
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/precision
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/recall
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/support
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/epochs
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/lr
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/model_name
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/meta.yaml
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/f1
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/precision
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/recall
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/support
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/epochs
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/lr
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/model_name
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/meta.yaml
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/f1
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/precision
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/recall
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/support
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/epochs
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/lr
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/model_name
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/meta.yaml
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/f1
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/precision
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/recall
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/support
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/epochs
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/lr
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/model_name
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/meta.yaml
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/f1
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/precision
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/recall
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/support
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/epochs
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/lr
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/model_name
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/meta.yaml
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/f1
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/precision
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/recall
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/support
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/epochs
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/lr
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/model_name
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/meta.yaml
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/f1
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/precision
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/recall
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/support
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/epochs
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/lr
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/model_name
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/meta.yaml
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/f1
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/precision
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/recall
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/support
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/epochs
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/lr
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/model_name
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/meta.yaml
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/f1
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/precision
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/recall
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/support
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/epochs
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/lr
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/model_name
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/meta.yaml
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/f1
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/precision
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/recall
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/support
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/epochs
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/lr
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/model_name
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/meta.yaml
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/f1
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/precision
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/recall
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/support
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/epochs
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/lr
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/model_name
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/meta.yaml
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/f1
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/precision
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/recall
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/support
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/epochs
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/lr
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/model_name
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/meta.yaml
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/f1
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/precision
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/recall
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/support
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/epochs
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/lr
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/model_name
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/meta.yaml
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/f1
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/precision
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/recall
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/support
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/epochs
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/lr
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/model_name
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/meta.yaml
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/f1
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/precision
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/recall
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/support
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/epochs
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/lr
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/model_name
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/meta.yaml
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/f1
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/precision
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/recall
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/support
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/epochs
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/lr
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/model_name
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/meta.yaml
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/f1
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/precision
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/recall
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/support
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/epochs
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/lr
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/model_name
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/meta.yaml
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/f1
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/precision
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/recall
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/support
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/epochs
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/lr
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/model_name
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/meta.yaml
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/f1
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/precision
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/recall
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/support
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/epochs
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/lr
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/model_name
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/meta.yaml
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/f1
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/precision
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/recall
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/support
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/epochs
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/lr
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/model_name
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/meta.yaml
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/f1
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/precision
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/recall
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/support
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/epochs
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/lr
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/model_name
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/meta.yaml
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/f1
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/precision
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/recall
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/support
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/epochs
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/lr
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/model_name
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/meta.yaml
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/f1
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/precision
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/recall
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/support
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/epochs
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/lr
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/model_name
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/meta.yaml
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/f1
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/precision
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/recall
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/support
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/epochs
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/lr
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/model_name
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/meta.yaml
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/f1
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/precision
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/recall
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/support
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/epochs
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/lr
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/model_name
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/meta.yaml
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/f1
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/precision
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/recall
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/support
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/epochs
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/lr
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/model_name
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/meta.yaml
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/f1
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/precision
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/recall
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/support
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/epochs
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/lr
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/model_name
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/meta.yaml
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/f1
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/precision
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/recall
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/support
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/epochs
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/lr
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/model_name
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/meta.yaml
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/f1
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/precision
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/recall
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/support
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/epochs
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/lr
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/model_name
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/meta.yaml
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/f1
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/precision
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/recall
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/support
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/epochs
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/lr
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/model_name
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/meta.yaml
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/f1
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/precision
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/recall
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/support
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/epochs
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/lr
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/model_name
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/meta.yaml
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/f1
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/precision
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/recall
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/support
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/epochs
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/lr
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/model_name
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/meta.yaml
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/f1
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/precision
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/recall
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/support
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/epochs
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/lr
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/model_name
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/meta.yaml
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/f1
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/precision
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/recall
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/support
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/epochs
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/lr
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/model_name
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/meta.yaml
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/f1
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/precision
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/recall
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/support
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/epochs
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/lr
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/model_name
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/meta.yaml
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/f1
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/precision
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/recall
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/support
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/epochs
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/lr
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/model_name
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/meta.yaml
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/f1
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/precision
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/recall
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/support
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/epochs
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/lr
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/model_name
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/meta.yaml
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/f1
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/precision
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/recall
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/support
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/epochs
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/lr
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/model_name
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/meta.yaml
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/f1
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/precision
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/recall
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/support
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/epochs
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/lr
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/model_name
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/meta.yaml
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/f1
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/precision
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/recall
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/support
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/epochs
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/lr
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/model_name
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/meta.yaml
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/f1
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/precision
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/recall
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/support
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/epochs
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/lr
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/model_name
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/meta.yaml
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/f1
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/precision
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/recall
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/support
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/epochs
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/lr
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/model_name
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/meta.yaml
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/f1
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/precision
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/recall
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/support
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/epochs
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/lr
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/model_name
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/meta.yaml
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/f1
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/precision
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/recall
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/support
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/epochs
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/lr
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/model_name
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/meta.yaml
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/f1
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/precision
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/recall
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/support
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/epochs
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/lr
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/model_name
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/meta.yaml
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/f1
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/precision
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/recall
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/support
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/epochs
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/lr
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/model_name
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/meta.yaml
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/f1
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/precision
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/recall
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/support
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/epochs
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/lr
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/model_name
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/meta.yaml
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/f1
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/precision
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/recall
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/support
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/epochs
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/lr
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/model_name
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/meta.yaml
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/f1
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/precision
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/recall
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/support
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/epochs
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/lr
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/model_name
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/meta.yaml
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/f1
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/precision
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/recall
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/support
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/epochs
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/lr
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/model_name
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/meta.yaml
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/f1
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/precision
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/recall
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/support
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/epochs
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/lr
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/model_name
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/meta.yaml
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/f1
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/precision
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/recall
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/support
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/epochs
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/lr
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/model_name
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/meta.yaml
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/f1
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/precision
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/recall
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/support
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/epochs
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/lr
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/model_name
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/meta.yaml
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/f1
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/precision
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/recall
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/support
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/epochs
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/lr
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/model_name
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/meta.yaml
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/f1
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/precision
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/recall
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/support
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/epochs
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/lr
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/model_name
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/meta.yaml
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/f1
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/precision
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/recall
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/support
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/epochs
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/lr
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/model_name
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/meta.yaml
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/f1
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/precision
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/recall
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/support
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/epochs
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/lr
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/model_name
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/meta.yaml
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/f1
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/precision
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/recall
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/support
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/epochs
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/lr
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/model_name
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/meta.yaml
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/f1
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/precision
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/recall
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/support
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/epochs
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/lr
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/model_name
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/meta.yaml
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/f1
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/precision
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/recall
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/support
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/epochs
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/lr
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/model_name
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/meta.yaml
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/f1
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/precision
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/recall
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/support
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/epochs
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/lr
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/model_name
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/meta.yaml
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/f1
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/precision
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/recall
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/support
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/epochs
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/lr
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/model_name
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/meta.yaml
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/f1
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/precision
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/recall
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/support
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/epochs
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/lr
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/model_name
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/meta.yaml
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/f1
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/precision
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/recall
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/support
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/epochs
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/lr
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/model_name
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/meta.yaml
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/f1
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/precision
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/recall
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/support
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/epochs
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/lr
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/model_name
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/meta.yaml
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/f1
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/precision
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/recall
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/support
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/epochs
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/lr
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/model_name
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/meta.yaml
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/f1
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/precision
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/recall
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/support
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/epochs
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/lr
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/model_name
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/meta.yaml
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/f1
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/precision
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/recall
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/support
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/epochs
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/lr
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/model_name
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/meta.yaml
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/f1
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/precision
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/recall
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/support
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/epochs
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/lr
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/model_name
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/meta.yaml
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/f1
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/precision
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/recall
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/support
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/epochs
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/lr
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/model_name
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/meta.yaml
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/f1
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/precision
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/recall
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/support
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/epochs
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/lr
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/model_name
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.user
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/classification_report.json
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/model_params.json
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/meta.yaml
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/accuracy
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/f1
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/macro_f1_score
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/precision
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/recall
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/support
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/epochs
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/lr
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/model_name
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.runName
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.git.commit
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.name
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.type
 create mode 100644 mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.user
 create mode 100644 multirun/2024-03-17/10-45-20/0/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/0/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/0/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/0/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/1/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/1/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/1/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/1/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/10/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/10/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/10/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/10/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/11/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/11/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/11/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/11/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/12/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/12/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/12/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/12/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/13/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/13/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/13/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/13/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/14/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/14/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/14/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/14/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/15/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/15/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/15/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/15/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/16/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/16/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/16/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/16/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/17/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/17/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/17/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/17/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/18/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/18/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/18/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/18/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/19/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/19/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/19/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/19/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/2/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/2/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/2/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/2/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/20/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/20/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/20/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/20/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/21/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/21/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/21/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/21/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/22/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/22/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/22/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/22/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/23/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/23/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/23/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/23/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/24/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/24/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/24/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/24/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/25/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/25/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/25/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/25/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/26/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/26/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/26/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/26/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/27/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/27/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/27/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/27/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/28/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/28/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/28/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/28/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/29/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/29/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/29/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/29/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/3/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/3/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/3/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/3/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/30/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/30/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/30/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/30/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/31/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/31/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/31/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/31/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/32/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/32/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/32/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/32/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/33/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/33/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/33/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/33/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/34/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/34/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/34/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/34/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/35/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/35/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/35/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/35/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/36/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/36/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/36/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/36/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/37/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/37/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/37/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/37/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/38/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/38/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/38/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/38/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/39/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/39/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/39/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/39/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/4/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/4/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/4/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/4/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/40/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/40/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/40/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/40/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/41/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/41/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/41/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/41/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/42/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/42/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/42/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/42/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/43/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/43/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/43/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/43/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/44/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/44/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/44/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/44/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/45/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/45/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/45/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/45/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/46/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/46/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/46/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/46/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/47/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/47/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/47/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/47/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/48/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/48/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/48/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/48/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/49/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/49/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/49/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/49/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/5/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/5/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/5/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/5/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/50/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/50/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/50/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/50/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/51/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/51/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/51/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/51/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/52/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/52/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/52/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/52/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/53/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/53/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/53/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/53/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/54/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/54/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/54/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/54/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/55/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/55/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/55/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/55/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/56/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/56/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/56/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/56/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/57/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/57/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/57/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/57/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/58/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/58/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/58/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/58/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/59/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/59/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/59/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/59/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/6/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/6/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/6/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/6/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/60/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/60/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/60/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/60/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/61/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/61/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/61/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/61/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/62/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/62/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/62/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/62/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/63/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/63/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/63/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/63/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/64/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/64/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/64/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/64/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/65/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/65/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/65/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/65/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/66/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/66/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/66/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/66/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/67/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/67/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/67/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/67/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/68/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/68/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/68/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/68/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/69/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/69/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/69/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/69/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/7/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/7/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/7/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/7/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/70/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/70/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/70/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/70/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/71/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/71/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/71/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/71/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/72/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/72/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/72/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/72/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/73/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/73/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/73/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/73/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/74/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/74/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/74/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/74/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/75/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/75/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/75/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/75/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/76/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/76/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/76/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/76/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/77/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/77/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/77/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/77/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/78/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/78/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/78/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/78/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/79/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/79/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/79/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/79/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/8/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/8/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/8/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/8/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/80/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/80/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/80/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/80/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/81/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/81/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/81/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/81/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/82/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/82/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/82/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/82/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/83/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/83/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/83/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/83/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/84/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/84/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/84/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/84/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/85/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/85/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/85/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/85/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/86/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/86/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/86/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/86/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/87/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/87/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/87/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/87/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/88/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/88/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/88/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/88/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/89/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/89/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/89/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/89/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/9/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/9/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/9/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/9/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/90/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/90/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/90/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/90/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/91/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/91/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/91/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/91/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/92/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/92/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/92/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/92/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/93/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/93/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/93/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/93/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/94/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/94/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/94/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/94/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/95/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/95/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/95/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/95/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/96/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/96/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/96/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/96/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/97/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/97/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/97/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/97/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/98/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/98/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/98/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/98/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/99/.hydra/config.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/99/.hydra/hydra.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/99/.hydra/overrides.yaml
 create mode 100644 multirun/2024-03-17/10-45-20/99/main.log
 create mode 100644 multirun/2024-03-17/10-45-20/optimization_results.yaml

diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/classification_report.json b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/model_params.json b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/model_params.json
new file mode 100644
index 00000000..88301d14
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/meta.yaml b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/meta.yaml
new file mode 100644
index 00000000..19c53636
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/artifacts
+end_time: 1710669340495
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 057a8d7d6b864f48a54a87ca8921dfd5
+run_name: ItalyPowerDemand
+run_uuid: 057a8d7d6b864f48a54a87ca8921dfd5
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669340475
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/accuracy b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/accuracy
new file mode 100644
index 00000000..33642c63
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/accuracy
@@ -0,0 +1 @@
+1710669340484 0.967930029154519 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/f1 b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/f1
new file mode 100644
index 00000000..f129701e
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/f1
@@ -0,0 +1 @@
+1710669340485 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/macro_f1_score b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/macro_f1_score
new file mode 100644
index 00000000..75524a6a
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669340489 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/precision b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/precision
new file mode 100644
index 00000000..37112ea8
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/precision
@@ -0,0 +1 @@
+1710669340486 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/recall b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/recall
new file mode 100644
index 00000000..08040c01
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/recall
@@ -0,0 +1 @@
+1710669340487 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/support b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/support
new file mode 100644
index 00000000..c7ad6c56
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/metrics/support
@@ -0,0 +1 @@
+1710669340488 1029.0 0
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/epochs b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/lr b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/model_name b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.runName b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.git.commit b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.name b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.type b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.user b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/057a8d7d6b864f48a54a87ca8921dfd5/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/classification_report.json b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/classification_report.json
new file mode 100644
index 00000000..4e4fcd39
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9686888454011742,
+    "recall": 0.9649122807017544,
+    "f1-score": 0.9667968750000001,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9652509652509652,
+    "recall": 0.9689922480620154,
+    "f1-score": 0.9671179883945842,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669699053260696,
+    "recall": 0.9669522643818849,
+    "f1-score": 0.9669574316972922,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669648938389702,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669578997926196,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/model_params.json b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/model_params.json
new file mode 100644
index 00000000..7c0f066c
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/meta.yaml b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/meta.yaml
new file mode 100644
index 00000000..5575dec1
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/artifacts
+end_time: 1710669442419
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 0b65d2400e964fff9446eed56ef8b65b
+run_name: ItalyPowerDemand
+run_uuid: 0b65d2400e964fff9446eed56ef8b65b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669442399
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/accuracy b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/accuracy
new file mode 100644
index 00000000..177d94bf
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/accuracy
@@ -0,0 +1 @@
+1710669442408 0.966958211856171 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/f1 b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/f1
new file mode 100644
index 00000000..88d137d1
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/f1
@@ -0,0 +1 @@
+1710669442409 0.9669578997926196 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/macro_f1_score b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/macro_f1_score
new file mode 100644
index 00000000..348e7302
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669442413 0.9669574316972922 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/precision b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/precision
new file mode 100644
index 00000000..78d945af
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/precision
@@ -0,0 +1 @@
+1710669442410 0.9669699053260696 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/recall b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/recall
new file mode 100644
index 00000000..e6d65c21
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/recall
@@ -0,0 +1 @@
+1710669442411 0.9669522643818849 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/support b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/support
new file mode 100644
index 00000000..92d16d18
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/metrics/support
@@ -0,0 +1 @@
+1710669442412 1029.0 0
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/epochs b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/lr b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/model_name b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.runName b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.name b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.type b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.user b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/0b65d2400e964fff9446eed56ef8b65b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/classification_report.json b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/classification_report.json
new file mode 100644
index 00000000..bdf1609c
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9724950884086444,
+    "recall": 0.9649122807017544,
+    "f1-score": 0.9686888454011742,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9653846153846154,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9691119691119691,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689398518966299,
+    "recall": 0.9688902488780089,
+    "f1-score": 0.9689004072565717,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9689294867756038,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689010240549839,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/model_params.json b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/model_params.json
new file mode 100644
index 00000000..9a1735a6
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/meta.yaml b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/meta.yaml
new file mode 100644
index 00000000..4e74ea9c
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/artifacts
+end_time: 1710669524989
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 0f49e15aa92a4e7cbae8c4c0555d9bb6
+run_name: ItalyPowerDemand
+run_uuid: 0f49e15aa92a4e7cbae8c4c0555d9bb6
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669524969
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/accuracy b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/accuracy
new file mode 100644
index 00000000..9e6c663f
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/accuracy
@@ -0,0 +1 @@
+1710669524978 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/f1 b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/f1
new file mode 100644
index 00000000..6f62115d
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/f1
@@ -0,0 +1 @@
+1710669524979 0.9689010240549839 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/macro_f1_score b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/macro_f1_score
new file mode 100644
index 00000000..9d7772f1
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669524983 0.9689004072565717 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/precision b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/precision
new file mode 100644
index 00000000..df2cc039
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/precision
@@ -0,0 +1 @@
+1710669524980 0.9689398518966299 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/recall b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/recall
new file mode 100644
index 00000000..149639ed
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/recall
@@ -0,0 +1 @@
+1710669524981 0.9688902488780089 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/support b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/support
new file mode 100644
index 00000000..189547b7
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/metrics/support
@@ -0,0 +1 @@
+1710669524982 1029.0 0
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/epochs b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/lr b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/model_name b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.runName b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.git.commit b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.name b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.type b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.user b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/0f49e15aa92a4e7cbae8c4c0555d9bb6/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/classification_report.json b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/classification_report.json
new file mode 100644
index 00000000..45bd94f7
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723320158102767,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9656526005888126,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9598470363288719,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9663137632338787,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660895260695743,
+    "recall": 0.9659662722698218,
+    "f1-score": 0.9659831819113457,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.96607132639103,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965984145705289,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/model_params.json b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/meta.yaml b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/meta.yaml
new file mode 100644
index 00000000..d3b88730
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/artifacts
+end_time: 1710669031244
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 10b8580ebb4b4267b800c514de7ba3d4
+run_name: ItalyPowerDemand
+run_uuid: 10b8580ebb4b4267b800c514de7ba3d4
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669031217
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/accuracy b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/accuracy
new file mode 100644
index 00000000..4a0f51cd
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/accuracy
@@ -0,0 +1 @@
+1710669031233 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/f1 b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/f1
new file mode 100644
index 00000000..997eba60
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/f1
@@ -0,0 +1 @@
+1710669031234 0.965984145705289 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/macro_f1_score b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/macro_f1_score
new file mode 100644
index 00000000..8384f142
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669031237 0.9659831819113457 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/precision b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/precision
new file mode 100644
index 00000000..5647bf84
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/precision
@@ -0,0 +1 @@
+1710669031235 0.9660895260695743 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/recall b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/recall
new file mode 100644
index 00000000..009841ef
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/recall
@@ -0,0 +1 @@
+1710669031236 0.9659662722698218 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/support b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/support
new file mode 100644
index 00000000..79ec008a
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/metrics/support
@@ -0,0 +1 @@
+1710669031237 1029.0 0
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/epochs b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/lr b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/model_name b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.runName b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.git.commit b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.name b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.type b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.user b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/10b8580ebb4b4267b800c514de7ba3d4/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/classification_report.json b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/classification_report.json
new file mode 100644
index 00000000..25b0e3f7
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704724409448819,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9657198824681685,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616122840690979,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9662487945998072,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660423625069899,
+    "recall": 0.9659719388911555,
+    "f1-score": 0.9659843385339879,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.966029446826413,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965985109542926,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/model_params.json b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/model_params.json
new file mode 100644
index 00000000..59c94ecc
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": false,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/meta.yaml b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/meta.yaml
new file mode 100644
index 00000000..d16d507e
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/artifacts
+end_time: 1710669065433
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 171a3e51cd00415f9543f54c27444df7
+run_name: ItalyPowerDemand
+run_uuid: 171a3e51cd00415f9543f54c27444df7
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669065406
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/accuracy b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/accuracy
new file mode 100644
index 00000000..3483016d
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/accuracy
@@ -0,0 +1 @@
+1710669065422 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/f1 b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/f1
new file mode 100644
index 00000000..8fc64d14
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/f1
@@ -0,0 +1 @@
+1710669065423 0.965985109542926 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/macro_f1_score b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/macro_f1_score
new file mode 100644
index 00000000..2c033c30
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669065427 0.9659843385339879 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/precision b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/precision
new file mode 100644
index 00000000..95caa3d5
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/precision
@@ -0,0 +1 @@
+1710669065424 0.9660423625069899 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/recall b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/recall
new file mode 100644
index 00000000..2f6e9083
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/recall
@@ -0,0 +1 @@
+1710669065425 0.9659719388911555 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/support b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/support
new file mode 100644
index 00000000..13bc92f3
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/metrics/support
@@ -0,0 +1 @@
+1710669065426 1029.0 0
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/epochs b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/lr b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/model_name b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.runName b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.git.commit b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.name b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.type b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.user b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/171a3e51cd00415f9543f54c27444df7/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/classification_report.json b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/classification_report.json
new file mode 100644
index 00000000..551a7632
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9837067209775967,
+    "recall": 0.9415204678362573,
+    "f1-score": 0.9621513944223108,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9442379182156134,
+    "recall": 0.9844961240310077,
+    "f1-score": 0.9639468690702087,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.963972319596605,
+    "recall": 0.9630082959336326,
+    "f1-score": 0.9630491317462597,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9639147848987013,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630517490562421,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/model_params.json b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/model_params.json
new file mode 100644
index 00000000..e1704d33
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/meta.yaml b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/meta.yaml
new file mode 100644
index 00000000..222826ab
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/artifacts
+end_time: 1710668830377
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 191330c390684e0c9a00b10902d25b1f
+run_name: ItalyPowerDemand
+run_uuid: 191330c390684e0c9a00b10902d25b1f
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668830358
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/accuracy b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/accuracy
new file mode 100644
index 00000000..88cc7060
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/accuracy
@@ -0,0 +1 @@
+1710668830366 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/f1 b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/f1
new file mode 100644
index 00000000..1a0098d0
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/f1
@@ -0,0 +1 @@
+1710668830367 0.9630517490562421 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/macro_f1_score b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/macro_f1_score
new file mode 100644
index 00000000..6c7ff75e
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668830371 0.9630491317462597 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/precision b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/precision
new file mode 100644
index 00000000..ea31a473
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/precision
@@ -0,0 +1 @@
+1710668830368 0.963972319596605 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/recall b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/recall
new file mode 100644
index 00000000..aef28632
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/recall
@@ -0,0 +1 @@
+1710668830369 0.9630082959336326 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/support b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/support
new file mode 100644
index 00000000..db592737
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/metrics/support
@@ -0,0 +1 @@
+1710668830370 1029.0 0
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/epochs b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/lr b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/model_name b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.runName b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.git.commit b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.name b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.type b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.user b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/191330c390684e0c9a00b10902d25b1f/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/classification_report.json b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/classification_report.json
new file mode 100644
index 00000000..9e543260
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9742574257425742,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9666011787819253,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9599236641221374,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9673076923076923,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670905449323558,
+    "recall": 0.9669352645178838,
+    "f1-score": 0.9669544355448088,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670696502361161,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669554654479077,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/model_params.json b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/model_params.json
new file mode 100644
index 00000000..7c0f066c
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/meta.yaml b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/meta.yaml
new file mode 100644
index 00000000..ad040c86
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/artifacts
+end_time: 1710669422356
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 196b1b930a144aaea4cca31c63bb5219
+run_name: ItalyPowerDemand
+run_uuid: 196b1b930a144aaea4cca31c63bb5219
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669422334
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/accuracy b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/accuracy
new file mode 100644
index 00000000..440febd1
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/accuracy
@@ -0,0 +1 @@
+1710669422344 0.966958211856171 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/f1 b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/f1
new file mode 100644
index 00000000..43024305
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/f1
@@ -0,0 +1 @@
+1710669422345 0.9669554654479077 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/macro_f1_score b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/macro_f1_score
new file mode 100644
index 00000000..5a0a8891
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669422349 0.9669544355448088 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/precision b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/precision
new file mode 100644
index 00000000..90d1b9b2
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/precision
@@ -0,0 +1 @@
+1710669422346 0.9670905449323558 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/recall b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/recall
new file mode 100644
index 00000000..8e2de7a3
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/recall
@@ -0,0 +1 @@
+1710669422347 0.9669352645178838 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/support b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/support
new file mode 100644
index 00000000..a6c04bca
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/metrics/support
@@ -0,0 +1 @@
+1710669422348 1029.0 0
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/epochs b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/lr b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/model_name b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.runName b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.git.commit b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.name b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.type b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.user b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/196b1b930a144aaea4cca31c63bb5219/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/classification_report.json b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/classification_report.json
new file mode 100644
index 00000000..34443640
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9820359281437125,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9704142011834319,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9602272727272727,
+    "recall": 0.9825581395348837,
+    "f1-score": 0.9712643678160919,
+    "support": 516
+  },
+  "accuracy": 0.9708454810495627,
+  "macro avg": {
+    "precision": 0.9711316004354926,
+    "recall": 0.9708112335101319,
+    "f1-score": 0.970839284499762,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9710998093926115,
+    "recall": 0.9708454810495627,
+    "f1-score": 0.9708405238097221,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/model_params.json b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/model_params.json
new file mode 100644
index 00000000..f10781c7
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/meta.yaml b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/meta.yaml
new file mode 100644
index 00000000..92bb9984
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/artifacts
+end_time: 1710669331193
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 1d3493218d65440abbd1873dcaff100d
+run_name: ItalyPowerDemand
+run_uuid: 1d3493218d65440abbd1873dcaff100d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669331172
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/accuracy b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/accuracy
new file mode 100644
index 00000000..4403184d
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/accuracy
@@ -0,0 +1 @@
+1710669331181 0.9708454810495627 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/f1 b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/f1
new file mode 100644
index 00000000..b81cb6f0
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/f1
@@ -0,0 +1 @@
+1710669331182 0.9708405238097221 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/macro_f1_score b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/macro_f1_score
new file mode 100644
index 00000000..469f324b
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669331186 0.970839284499762 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/precision b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/precision
new file mode 100644
index 00000000..ca2bbcf7
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/precision
@@ -0,0 +1 @@
+1710669331183 0.9711316004354926 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/recall b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/recall
new file mode 100644
index 00000000..8a4fc3a2
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/recall
@@ -0,0 +1 @@
+1710669331184 0.9708112335101319 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/support b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/support
new file mode 100644
index 00000000..d328afb2
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/metrics/support
@@ -0,0 +1 @@
+1710669331185 1029.0 0
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/epochs b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/lr b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/model_name b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.runName b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.git.commit b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.name b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.type b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.user b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/1d3493218d65440abbd1873dcaff100d/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/classification_report.json b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/model_params.json b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/model_params.json
new file mode 100644
index 00000000..9a1735a6
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/meta.yaml b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/meta.yaml
new file mode 100644
index 00000000..03bdc5c6
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/artifacts
+end_time: 1710669542955
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 1d4791d1587e4490a664344e2b159c7e
+run_name: ItalyPowerDemand
+run_uuid: 1d4791d1587e4490a664344e2b159c7e
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669542934
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/accuracy b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/accuracy
new file mode 100644
index 00000000..6e064a6b
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/accuracy
@@ -0,0 +1 @@
+1710669542943 0.967930029154519 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/f1 b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/f1
new file mode 100644
index 00000000..e3f4bfea
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/f1
@@ -0,0 +1 @@
+1710669542944 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/macro_f1_score b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/macro_f1_score
new file mode 100644
index 00000000..c1664e8c
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669542948 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/precision b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/precision
new file mode 100644
index 00000000..98a9fdca
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/precision
@@ -0,0 +1 @@
+1710669542945 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/recall b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/recall
new file mode 100644
index 00000000..b6976393
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/recall
@@ -0,0 +1 @@
+1710669542946 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/support b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/support
new file mode 100644
index 00000000..fa506021
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/metrics/support
@@ -0,0 +1 @@
+1710669542947 1029.0 0
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/epochs b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/lr b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/model_name b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.runName b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.git.commit b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.name b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.type b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.user b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/1d4791d1587e4490a664344e2b159c7e/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/classification_report.json b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/classification_report.json
new file mode 100644
index 00000000..b17dfe79
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9722222222222222,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9636184857423794,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9561904761904761,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9644572526416906,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9642063492063492,
+    "recall": 0.9640169545310304,
+    "f1-score": 0.964037869192035,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9641829793141745,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.964039091884308,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/model_params.json b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/model_params.json
new file mode 100644
index 00000000..75778f85
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.1
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/meta.yaml b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/meta.yaml
new file mode 100644
index 00000000..3bdf32a0
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/artifacts
+end_time: 1710668860881
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 1fc229a6050c422e99fbacbb1fb11640
+run_name: ItalyPowerDemand
+run_uuid: 1fc229a6050c422e99fbacbb1fb11640
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668860862
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/accuracy b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/accuracy
new file mode 100644
index 00000000..1f1e875e
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/accuracy
@@ -0,0 +1 @@
+1710668860870 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/f1 b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/f1
new file mode 100644
index 00000000..75d95720
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/f1
@@ -0,0 +1 @@
+1710668860871 0.964039091884308 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/macro_f1_score b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/macro_f1_score
new file mode 100644
index 00000000..ff658011
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668860875 0.964037869192035 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/precision b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/precision
new file mode 100644
index 00000000..201a2a7c
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/precision
@@ -0,0 +1 @@
+1710668860872 0.9642063492063492 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/recall b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/recall
new file mode 100644
index 00000000..dab99705
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/recall
@@ -0,0 +1 @@
+1710668860873 0.9640169545310304 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/support b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/support
new file mode 100644
index 00000000..cf17d39d
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/metrics/support
@@ -0,0 +1 @@
+1710668860874 1029.0 0
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/epochs b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/lr b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/model_name b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.runName b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.git.commit b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.name b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.type b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.user b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/1fc229a6050c422e99fbacbb1fb11640/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/classification_report.json b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/model_params.json b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/model_params.json
new file mode 100644
index 00000000..88301d14
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/meta.yaml b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/meta.yaml
new file mode 100644
index 00000000..d44710ef
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/artifacts
+end_time: 1710669359117
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 21cd138d25c540a180c1dc476da99a28
+run_name: ItalyPowerDemand
+run_uuid: 21cd138d25c540a180c1dc476da99a28
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669359097
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/accuracy b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/accuracy
new file mode 100644
index 00000000..2645bb52
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/accuracy
@@ -0,0 +1 @@
+1710669359106 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/f1 b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/f1
new file mode 100644
index 00000000..dbb1b0d3
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/f1
@@ -0,0 +1 @@
+1710669359107 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/macro_f1_score b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/macro_f1_score
new file mode 100644
index 00000000..f2a9c5be
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669359111 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/precision b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/precision
new file mode 100644
index 00000000..c2625594
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/precision
@@ -0,0 +1 @@
+1710669359108 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/recall b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/recall
new file mode 100644
index 00000000..b161ccd5
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/recall
@@ -0,0 +1 @@
+1710669359109 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/support b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/support
new file mode 100644
index 00000000..1e638866
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/metrics/support
@@ -0,0 +1 @@
+1710669359110 1029.0 0
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/epochs b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/lr b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/model_name b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.runName b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.git.commit b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.name b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.type b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.user b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/21cd138d25c540a180c1dc476da99a28/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/classification_report.json b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/classification_report.json
new file mode 100644
index 00000000..25b0e3f7
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704724409448819,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9657198824681685,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616122840690979,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9662487945998072,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660423625069899,
+    "recall": 0.9659719388911555,
+    "f1-score": 0.9659843385339879,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.966029446826413,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965985109542926,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/model_params.json b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/meta.yaml b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/meta.yaml
new file mode 100644
index 00000000..e7740f47
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/artifacts
+end_time: 1710668974903
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 24a456568e9a43a19381bf463f9ed8b6
+run_name: ItalyPowerDemand
+run_uuid: 24a456568e9a43a19381bf463f9ed8b6
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668974881
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/accuracy b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/accuracy
new file mode 100644
index 00000000..31659e4f
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/accuracy
@@ -0,0 +1 @@
+1710668974892 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/f1 b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/f1
new file mode 100644
index 00000000..76960835
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/f1
@@ -0,0 +1 @@
+1710668974893 0.965985109542926 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/macro_f1_score b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/macro_f1_score
new file mode 100644
index 00000000..ba8fe32f
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668974896 0.9659843385339879 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/precision b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/precision
new file mode 100644
index 00000000..4eaccb58
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/precision
@@ -0,0 +1 @@
+1710668974893 0.9660423625069899 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/recall b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/recall
new file mode 100644
index 00000000..34ac268a
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/recall
@@ -0,0 +1 @@
+1710668974894 0.9659719388911555 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/support b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/support
new file mode 100644
index 00000000..d318285c
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/metrics/support
@@ -0,0 +1 @@
+1710668974895 1029.0 0
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/epochs b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/lr b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/model_name b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.runName b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.git.commit b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.name b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.type b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.user b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/24a456568e9a43a19381bf463f9ed8b6/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/classification_report.json b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/classification_report.json
new file mode 100644
index 00000000..2566facd
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.978,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9654491609081934,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9546313799621928,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9665071770334928,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9663156899810964,
+    "recall": 0.9659492724058207,
+    "f1-score": 0.9659781689708431,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9662816249373096,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.9659797112684019,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/model_params.json b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/model_params.json
new file mode 100644
index 00000000..32532304
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/meta.yaml b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/meta.yaml
new file mode 100644
index 00000000..8e49281c
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/artifacts
+end_time: 1710669178389
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 24e6b445519644c5b8d498ad8c56592f
+run_name: ItalyPowerDemand
+run_uuid: 24e6b445519644c5b8d498ad8c56592f
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669178369
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/accuracy b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/accuracy
new file mode 100644
index 00000000..49ae0254
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/accuracy
@@ -0,0 +1 @@
+1710669178377 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/f1 b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/f1
new file mode 100644
index 00000000..e09df301
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/f1
@@ -0,0 +1 @@
+1710669178378 0.9659797112684019 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/macro_f1_score b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/macro_f1_score
new file mode 100644
index 00000000..94cbb940
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669178382 0.9659781689708431 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/precision b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/precision
new file mode 100644
index 00000000..a4d30aa8
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/precision
@@ -0,0 +1 @@
+1710669178379 0.9663156899810964 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/recall b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/recall
new file mode 100644
index 00000000..f2d85ed4
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/recall
@@ -0,0 +1 @@
+1710669178380 0.9659492724058207 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/support b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/support
new file mode 100644
index 00000000..33d18a31
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/metrics/support
@@ -0,0 +1 @@
+1710669178381 1029.0 0
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/epochs b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/lr b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/model_name b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.runName b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.git.commit b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.name b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.type b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.user b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/24e6b445519644c5b8d498ad8c56592f/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/classification_report.json b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/classification_report.json
new file mode 100644
index 00000000..4b1b0d12
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723865877712031,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9666666666666666,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616858237547893,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9672447013487475,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670362057629962,
+    "recall": 0.9669409311392175,
+    "f1-score": 0.966955684007707,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670206069816312,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669565266238617,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/model_params.json b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/model_params.json
new file mode 100644
index 00000000..8831c369
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/meta.yaml b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/meta.yaml
new file mode 100644
index 00000000..6b9f36b3
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/artifacts
+end_time: 1710669213629
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 25fbfbf001a746bd9d591853affea36a
+run_name: ItalyPowerDemand
+run_uuid: 25fbfbf001a746bd9d591853affea36a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669213608
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/accuracy b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/accuracy
new file mode 100644
index 00000000..d3c39182
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/accuracy
@@ -0,0 +1 @@
+1710669213617 0.966958211856171 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/f1 b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/f1
new file mode 100644
index 00000000..f49570e0
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/f1
@@ -0,0 +1 @@
+1710669213618 0.9669565266238617 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/macro_f1_score b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/macro_f1_score
new file mode 100644
index 00000000..c2001bcb
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669213622 0.966955684007707 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/precision b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/precision
new file mode 100644
index 00000000..250164ec
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/precision
@@ -0,0 +1 @@
+1710669213619 0.9670362057629962 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/recall b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/recall
new file mode 100644
index 00000000..561686e3
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/recall
@@ -0,0 +1 @@
+1710669213620 0.9669409311392175 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/support b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/support
new file mode 100644
index 00000000..b6fc0568
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/metrics/support
@@ -0,0 +1 @@
+1710669213621 1029.0 0
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/epochs b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/lr b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/model_name b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.runName b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.name b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.type b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.user b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/25fbfbf001a746bd9d591853affea36a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/classification_report.json b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/classification_report.json
new file mode 100644
index 00000000..cf5492ca
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9681908548707754,
+    "recall": 0.949317738791423,
+    "f1-score": 0.9586614173228347,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9505703422053232,
+    "recall": 0.9689922480620154,
+    "f1-score": 0.9596928982725528,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.9593805985380492,
+    "recall": 0.9591549934267192,
+    "f1-score": 0.9591771577976937,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9593549126595283,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.9591786614142385,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/model_params.json b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/model_params.json
new file mode 100644
index 00000000..9d79a3a2
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/meta.yaml b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/meta.yaml
new file mode 100644
index 00000000..8166665f
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/artifacts
+end_time: 1710669184815
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 2903c0720755472da6d50a40d30b6492
+run_name: ItalyPowerDemand
+run_uuid: 2903c0720755472da6d50a40d30b6492
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669184795
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/accuracy b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/accuracy
new file mode 100644
index 00000000..21567666
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/accuracy
@@ -0,0 +1 @@
+1710669184804 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/f1 b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/f1
new file mode 100644
index 00000000..54a76d89
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/f1
@@ -0,0 +1 @@
+1710669184805 0.9591786614142385 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/macro_f1_score b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/macro_f1_score
new file mode 100644
index 00000000..0f323554
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669184809 0.9591771577976937 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/precision b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/precision
new file mode 100644
index 00000000..0ee7f66e
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/precision
@@ -0,0 +1 @@
+1710669184806 0.9593805985380492 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/recall b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/recall
new file mode 100644
index 00000000..bc4256e8
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/recall
@@ -0,0 +1 @@
+1710669184807 0.9591549934267192 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/support b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/support
new file mode 100644
index 00000000..14c081b9
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/metrics/support
@@ -0,0 +1 @@
+1710669184808 1029.0 0
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/epochs b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/lr b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/model_name b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.runName b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.git.commit b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.name b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.type b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.user b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/2903c0720755472da6d50a40d30b6492/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/classification_report.json b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/classification_report.json
new file mode 100644
index 00000000..047519f8
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761431411530815,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9665354330708661,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9581749049429658,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9673704414587332,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9671590230480236,
+    "recall": 0.9669295978965502,
+    "f1-score": 0.9669529372647996,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.967132830283869,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669541544781931,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/model_params.json b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/model_params.json
new file mode 100644
index 00000000..67c0ba31
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/meta.yaml b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/meta.yaml
new file mode 100644
index 00000000..416e0232
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/artifacts
+end_time: 1710669273431
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 2a42c7c56a82491c8b36925b61732f42
+run_name: ItalyPowerDemand
+run_uuid: 2a42c7c56a82491c8b36925b61732f42
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669273411
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/accuracy b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/accuracy
new file mode 100644
index 00000000..4922c509
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/accuracy
@@ -0,0 +1 @@
+1710669273420 0.966958211856171 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/f1 b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/f1
new file mode 100644
index 00000000..fa2d0e85
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/f1
@@ -0,0 +1 @@
+1710669273421 0.9669541544781931 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/macro_f1_score b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/macro_f1_score
new file mode 100644
index 00000000..710fe713
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669273425 0.9669529372647996 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/precision b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/precision
new file mode 100644
index 00000000..806bf22c
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/precision
@@ -0,0 +1 @@
+1710669273422 0.9671590230480236 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/recall b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/recall
new file mode 100644
index 00000000..a0cbae71
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/recall
@@ -0,0 +1 @@
+1710669273423 0.9669295978965502 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/support b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/support
new file mode 100644
index 00000000..c64fc911
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/metrics/support
@@ -0,0 +1 @@
+1710669273424 1029.0 0
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/epochs b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/lr b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/model_name b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.runName b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.git.commit b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.name b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.type b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.user b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/2a42c7c56a82491c8b36925b61732f42/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/classification_report.json b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/classification_report.json
new file mode 100644
index 00000000..0327bef6
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9738430583501007,
+    "recall": 0.9434697855750487,
+    "f1-score": 0.9584158415841585,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9454887218045113,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9599236641221373,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.959665890077306,
+    "recall": 0.9591379935627181,
+    "f1-score": 0.9591697528531479,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9596245572251987,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.9591719508451858,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/model_params.json b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/model_params.json
new file mode 100644
index 00000000..0868b5f0
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/meta.yaml b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/meta.yaml
new file mode 100644
index 00000000..965c4cf3
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/artifacts
+end_time: 1710668837808
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 2dd542a7c4aa424da99ae42015d89cb2
+run_name: ItalyPowerDemand
+run_uuid: 2dd542a7c4aa424da99ae42015d89cb2
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668837789
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/accuracy b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/accuracy
new file mode 100644
index 00000000..938d039c
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/accuracy
@@ -0,0 +1 @@
+1710668837797 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/f1 b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/f1
new file mode 100644
index 00000000..ea1c099c
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/f1
@@ -0,0 +1 @@
+1710668837798 0.9591719508451858 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/macro_f1_score b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/macro_f1_score
new file mode 100644
index 00000000..ba987857
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668837802 0.9591697528531479 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/precision b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/precision
new file mode 100644
index 00000000..79d9b6cc
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/precision
@@ -0,0 +1 @@
+1710668837799 0.959665890077306 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/recall b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/recall
new file mode 100644
index 00000000..4fb04039
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/recall
@@ -0,0 +1 @@
+1710668837800 0.9591379935627181 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/support b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/support
new file mode 100644
index 00000000..b35ef85c
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/metrics/support
@@ -0,0 +1 @@
+1710668837801 1029.0 0
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/epochs b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/lr b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/model_name b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.runName b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.git.commit b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.name b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.type b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.user b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/2dd542a7c4aa424da99ae42015d89cb2/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/classification_report.json b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/classification_report.json
new file mode 100644
index 00000000..9bfa6637
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9780439121756487,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9664694280078895,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9564393939393939,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9674329501915708,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9672416530575213,
+    "recall": 0.9669239312752165,
+    "f1-score": 0.9669511890997302,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9672101595907046,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669525936510184,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/model_params.json b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/model_params.json
new file mode 100644
index 00000000..9d25c9a6
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/meta.yaml b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/meta.yaml
new file mode 100644
index 00000000..5911bae5
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/artifacts
+end_time: 1710668885663
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 2e762a5d9ca346b383fd991bf2e2da6b
+run_name: ItalyPowerDemand
+run_uuid: 2e762a5d9ca346b383fd991bf2e2da6b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668885644
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/accuracy b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/accuracy
new file mode 100644
index 00000000..18d0000f
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/accuracy
@@ -0,0 +1 @@
+1710668885652 0.966958211856171 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/f1 b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/f1
new file mode 100644
index 00000000..03b7117d
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/f1
@@ -0,0 +1 @@
+1710668885653 0.9669525936510184 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/macro_f1_score b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/macro_f1_score
new file mode 100644
index 00000000..321814fd
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668885657 0.9669511890997302 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/precision b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/precision
new file mode 100644
index 00000000..52438d4f
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/precision
@@ -0,0 +1 @@
+1710668885654 0.9672416530575213 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/recall b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/recall
new file mode 100644
index 00000000..dba05b6f
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/recall
@@ -0,0 +1 @@
+1710668885655 0.9669239312752165 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/support b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/support
new file mode 100644
index 00000000..e15d3138
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/metrics/support
@@ -0,0 +1 @@
+1710668885656 1029.0 0
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/epochs b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/lr b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/model_name b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.runName b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.name b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.type b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.user b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/2e762a5d9ca346b383fd991bf2e2da6b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/classification_report.json b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/classification_report.json
new file mode 100644
index 00000000..94864508
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9700598802395209,
+    "recall": 0.9473684210526315,
+    "f1-score": 0.9585798816568046,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9488636363636364,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9597701149425287,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.9594617583015786,
+    "recall": 0.9591493268053854,
+    "f1-score": 0.9591749982996667,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9594308599868907,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.959176733333611,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/model_params.json b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/model_params.json
new file mode 100644
index 00000000..9d79a3a2
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/meta.yaml b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/meta.yaml
new file mode 100644
index 00000000..17f5a004
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/artifacts
+end_time: 1710669198035
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 341e815326a44828a76f60597aa8c999
+run_name: ItalyPowerDemand
+run_uuid: 341e815326a44828a76f60597aa8c999
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669198015
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/accuracy b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/accuracy
new file mode 100644
index 00000000..c673ec5c
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/accuracy
@@ -0,0 +1 @@
+1710669198024 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/f1 b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/f1
new file mode 100644
index 00000000..24e17733
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/f1
@@ -0,0 +1 @@
+1710669198025 0.959176733333611 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/macro_f1_score b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/macro_f1_score
new file mode 100644
index 00000000..7af761a3
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669198029 0.9591749982996667 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/precision b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/precision
new file mode 100644
index 00000000..6d378262
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/precision
@@ -0,0 +1 @@
+1710669198026 0.9594617583015786 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/recall b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/recall
new file mode 100644
index 00000000..88879df9
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/recall
@@ -0,0 +1 @@
+1710669198027 0.9591493268053854 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/support b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/support
new file mode 100644
index 00000000..b37fdfcb
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/metrics/support
@@ -0,0 +1 @@
+1710669198028 1029.0 0
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/epochs b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/lr b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/model_name b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.runName b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.git.commit b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.name b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.type b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.user b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/341e815326a44828a76f60597aa8c999/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/classification_report.json b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/model_params.json b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/model_params.json
new file mode 100644
index 00000000..281a6a75
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/meta.yaml b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/meta.yaml
new file mode 100644
index 00000000..9d11cab9
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/artifacts
+end_time: 1710669168367
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 357d3dee776b4abb954889a0477cb0c2
+run_name: ItalyPowerDemand
+run_uuid: 357d3dee776b4abb954889a0477cb0c2
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669168348
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/accuracy b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/accuracy
new file mode 100644
index 00000000..914211b4
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/accuracy
@@ -0,0 +1 @@
+1710669168356 0.967930029154519 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/f1 b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/f1
new file mode 100644
index 00000000..bd3df70e
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/f1
@@ -0,0 +1 @@
+1710669168357 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/macro_f1_score b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/macro_f1_score
new file mode 100644
index 00000000..f3e4e427
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669168361 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/precision b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/precision
new file mode 100644
index 00000000..3138d0f3
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/precision
@@ -0,0 +1 @@
+1710669168358 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/recall b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/recall
new file mode 100644
index 00000000..a25b11a8
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/recall
@@ -0,0 +1 @@
+1710669168359 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/support b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/support
new file mode 100644
index 00000000..dbe95bd9
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/metrics/support
@@ -0,0 +1 @@
+1710669168360 1029.0 0
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/epochs b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/lr b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/model_name b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.runName b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.git.commit b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.name b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.type b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.user b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/357d3dee776b4abb954889a0477cb0c2/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/classification_report.json b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/classification_report.json
new file mode 100644
index 00000000..a2ff7483
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9743589743589743,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9686274509803922,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9636015325670498,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9691714836223507,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689802534630121,
+    "recall": 0.9688845822566752,
+    "f1-score": 0.9688994673013714,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.968964572060983,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689002603518698,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/model_params.json b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/model_params.json
new file mode 100644
index 00000000..9a1735a6
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/meta.yaml b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/meta.yaml
new file mode 100644
index 00000000..47a192b0
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/artifacts
+end_time: 1710669515964
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 3a87bef59bc64d90a0ac9e78d937f839
+run_name: ItalyPowerDemand
+run_uuid: 3a87bef59bc64d90a0ac9e78d937f839
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669515942
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/accuracy b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/accuracy
new file mode 100644
index 00000000..ff3bc91c
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/accuracy
@@ -0,0 +1 @@
+1710669515952 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/f1 b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/f1
new file mode 100644
index 00000000..8afaf19d
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/f1
@@ -0,0 +1 @@
+1710669515953 0.9689002603518698 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/macro_f1_score b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/macro_f1_score
new file mode 100644
index 00000000..7f3e9215
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669515957 0.9688994673013714 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/precision b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/precision
new file mode 100644
index 00000000..d39ab4d9
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/precision
@@ -0,0 +1 @@
+1710669515954 0.9689802534630121 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/recall b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/recall
new file mode 100644
index 00000000..745af243
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/recall
@@ -0,0 +1 @@
+1710669515955 0.9688845822566752 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/support b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/support
new file mode 100644
index 00000000..3ab74280
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/metrics/support
@@ -0,0 +1 @@
+1710669515956 1029.0 0
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/epochs b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/lr b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/model_name b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.runName b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.git.commit b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.name b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.type b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.user b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/3a87bef59bc64d90a0ac9e78d937f839/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/classification_report.json b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/model_params.json b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/model_params.json
new file mode 100644
index 00000000..281a6a75
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/meta.yaml b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/meta.yaml
new file mode 100644
index 00000000..d4b58c90
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/artifacts
+end_time: 1710669150438
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 3cbe3c4b72ab43b895a6f5a3d3597f0b
+run_name: ItalyPowerDemand
+run_uuid: 3cbe3c4b72ab43b895a6f5a3d3597f0b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669150419
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/accuracy b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/accuracy
new file mode 100644
index 00000000..44a1c04d
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/accuracy
@@ -0,0 +1 @@
+1710669150427 0.966958211856171 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/f1 b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/f1
new file mode 100644
index 00000000..9f510cb2
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/f1
@@ -0,0 +1 @@
+1710669150428 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/macro_f1_score b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/macro_f1_score
new file mode 100644
index 00000000..f66df6fb
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669150432 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/precision b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/precision
new file mode 100644
index 00000000..232cbb52
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/precision
@@ -0,0 +1 @@
+1710669150429 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/recall b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/recall
new file mode 100644
index 00000000..31b7919d
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/recall
@@ -0,0 +1 @@
+1710669150430 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/support b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/support
new file mode 100644
index 00000000..04b5e266
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/metrics/support
@@ -0,0 +1 @@
+1710669150431 1029.0 0
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/epochs b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/lr b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/model_name b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.runName b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.name b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.type b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.user b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/3cbe3c4b72ab43b895a6f5a3d3597f0b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/classification_report.json b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/classification_report.json
new file mode 100644
index 00000000..63f48844
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9744094488188977,
+    "recall": 0.9649122807017544,
+    "f1-score": 0.9696376101860922,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9654510556621881,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9701060752169721,
+    "support": 516
+  },
+  "accuracy": 0.9698736637512148,
+  "macro avg": {
+    "precision": 0.9699302522405429,
+    "recall": 0.9698592411260709,
+    "f1-score": 0.9698718427015321,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9699171933583902,
+    "recall": 0.9698736637512148,
+    "f1-score": 0.9698725255951632,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/model_params.json b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/model_params.json
new file mode 100644
index 00000000..51ac3851
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/meta.yaml b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/meta.yaml
new file mode 100644
index 00000000..d2990ad1
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/artifacts
+end_time: 1710669451695
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 3e98436ad35344beafb5d2f1a0c753ef
+run_name: ItalyPowerDemand
+run_uuid: 3e98436ad35344beafb5d2f1a0c753ef
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669451674
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/accuracy b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/accuracy
new file mode 100644
index 00000000..538ad9a0
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/accuracy
@@ -0,0 +1 @@
+1710669451683 0.9698736637512148 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/f1 b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/f1
new file mode 100644
index 00000000..22f1e998
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/f1
@@ -0,0 +1 @@
+1710669451685 0.9698725255951632 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/macro_f1_score b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/macro_f1_score
new file mode 100644
index 00000000..b8940fc8
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669451689 0.9698718427015321 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/precision b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/precision
new file mode 100644
index 00000000..5e495e5a
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/precision
@@ -0,0 +1 @@
+1710669451686 0.9699302522405429 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/recall b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/recall
new file mode 100644
index 00000000..b4a413a8
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/recall
@@ -0,0 +1 @@
+1710669451687 0.9698592411260709 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/support b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/support
new file mode 100644
index 00000000..29779273
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/metrics/support
@@ -0,0 +1 @@
+1710669451688 1029.0 0
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/epochs b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/lr b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/model_name b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.runName b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.git.commit b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.name b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.type b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.user b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/3e98436ad35344beafb5d2f1a0c753ef/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/classification_report.json b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/classification_report.json
new file mode 100644
index 00000000..a2ff7483
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9743589743589743,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9686274509803922,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9636015325670498,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9691714836223507,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689802534630121,
+    "recall": 0.9688845822566752,
+    "f1-score": 0.9688994673013714,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.968964572060983,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689002603518698,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/model_params.json b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/model_params.json
new file mode 100644
index 00000000..486935d8
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/meta.yaml b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/meta.yaml
new file mode 100644
index 00000000..0ae9de14
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/artifacts
+end_time: 1710668816087
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 3ecb31fdf04541b0a0b445d3241360ba
+run_name: ItalyPowerDemand
+run_uuid: 3ecb31fdf04541b0a0b445d3241360ba
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668816068
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/accuracy b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/accuracy
new file mode 100644
index 00000000..21dfcd69
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/accuracy
@@ -0,0 +1 @@
+1710668816076 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/f1 b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/f1
new file mode 100644
index 00000000..490ee4eb
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/f1
@@ -0,0 +1 @@
+1710668816077 0.9689002603518698 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/macro_f1_score b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/macro_f1_score
new file mode 100644
index 00000000..c8b07bd1
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668816081 0.9688994673013714 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/precision b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/precision
new file mode 100644
index 00000000..26976b47
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/precision
@@ -0,0 +1 @@
+1710668816078 0.9689802534630121 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/recall b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/recall
new file mode 100644
index 00000000..09b1e28b
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/recall
@@ -0,0 +1 @@
+1710668816079 0.9688845822566752 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/support b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/support
new file mode 100644
index 00000000..59a3159d
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/metrics/support
@@ -0,0 +1 @@
+1710668816080 1029.0 0
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/epochs b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/lr b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/model_name b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.runName b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.git.commit b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.name b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.type b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.user b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/3ecb31fdf04541b0a0b445d3241360ba/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/classification_report.json b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/classification_report.json
new file mode 100644
index 00000000..dde2fe2c
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9724409448818898,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9676787463271302,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.963531669865643,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9681774349083895,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9679863073737665,
+    "recall": 0.9679155900086132,
+    "f1-score": 0.9679280906177599,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9679733200924017,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679288175690444,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/model_params.json b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/model_params.json
new file mode 100644
index 00000000..f10781c7
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/meta.yaml b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/meta.yaml
new file mode 100644
index 00000000..03117abd
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/artifacts
+end_time: 1710669379626
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 40e53a44508747fa9e309d71d39f2eb2
+run_name: ItalyPowerDemand
+run_uuid: 40e53a44508747fa9e309d71d39f2eb2
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669379606
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/accuracy b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/accuracy
new file mode 100644
index 00000000..943a338e
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/accuracy
@@ -0,0 +1 @@
+1710669379614 0.967930029154519 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/f1 b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/f1
new file mode 100644
index 00000000..2dfba2d0
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/f1
@@ -0,0 +1 @@
+1710669379615 0.9679288175690444 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/macro_f1_score b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/macro_f1_score
new file mode 100644
index 00000000..1f115770
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669379620 0.9679280906177599 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/precision b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/precision
new file mode 100644
index 00000000..ba97e1db
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/precision
@@ -0,0 +1 @@
+1710669379616 0.9679863073737665 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/recall b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/recall
new file mode 100644
index 00000000..4fc32409
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/recall
@@ -0,0 +1 @@
+1710669379617 0.9679155900086132 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/support b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/support
new file mode 100644
index 00000000..c43374a9
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/metrics/support
@@ -0,0 +1 @@
+1710669379618 1029.0 0
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/epochs b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/lr b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/model_name b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.runName b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.git.commit b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.name b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.type b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.user b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/40e53a44508747fa9e309d71d39f2eb2/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/classification_report.json b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/classification_report.json
new file mode 100644
index 00000000..96cdda91
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.97,
+    "recall": 0.9454191033138402,
+    "f1-score": 0.9575518262586377,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.947069943289225,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9588516746411484,
+    "support": 516
+  },
+  "accuracy": 0.9582118561710399,
+  "macro avg": {
+    "precision": 0.9585349716446125,
+    "recall": 0.9581746679359898,
+    "f1-score": 0.958201750449893,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.958501545905967,
+    "recall": 0.9582118561710399,
+    "f1-score": 0.958203645272608,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/model_params.json b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/model_params.json
new file mode 100644
index 00000000..02a1e06b
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/meta.yaml b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/meta.yaml
new file mode 100644
index 00000000..84e6cf2c
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/artifacts
+end_time: 1710668739707
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 41431756756a4ecf87df456e75a9c8e7
+run_name: ItalyPowerDemand
+run_uuid: 41431756756a4ecf87df456e75a9c8e7
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668739688
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/accuracy b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/accuracy
new file mode 100644
index 00000000..cca037e6
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/accuracy
@@ -0,0 +1 @@
+1710668739696 0.9582118561710399 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/f1 b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/f1
new file mode 100644
index 00000000..c11f2755
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/f1
@@ -0,0 +1 @@
+1710668739697 0.958203645272608 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/macro_f1_score b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/macro_f1_score
new file mode 100644
index 00000000..29407ee6
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668739701 0.958201750449893 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/precision b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/precision
new file mode 100644
index 00000000..1876b568
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/precision
@@ -0,0 +1 @@
+1710668739698 0.9585349716446125 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/recall b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/recall
new file mode 100644
index 00000000..a0a2a0d4
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/recall
@@ -0,0 +1 @@
+1710668739699 0.9581746679359898 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/support b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/support
new file mode 100644
index 00000000..6674e667
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/metrics/support
@@ -0,0 +1 @@
+1710668739700 1029.0 0
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/epochs b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/lr b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/model_name b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.runName b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.git.commit b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.name b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.type b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.user b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/41431756756a4ecf87df456e75a9c8e7/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/classification_report.json b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/classification_report.json
new file mode 100644
index 00000000..2443a96c
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9815573770491803,
+    "recall": 0.9337231968810916,
+    "f1-score": 0.957042957042957,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9371534195933456,
+    "recall": 0.9825581395348837,
+    "f1-score": 0.9593188268684957,
+    "support": 516
+  },
+  "accuracy": 0.9582118561710399,
+  "macro avg": {
+    "precision": 0.959355398321263,
+    "recall": 0.9581406682079876,
+    "f1-score": 0.9581808919557264,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.959290669520307,
+    "recall": 0.9582118561710399,
+    "f1-score": 0.9581842095502243,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/model_params.json b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/model_params.json
new file mode 100644
index 00000000..9d79a3a2
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/meta.yaml b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/meta.yaml
new file mode 100644
index 00000000..f6f0a4f5
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/artifacts
+end_time: 1710669191286
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 45bc71188d7543fab6829e5c4ef88694
+run_name: ItalyPowerDemand
+run_uuid: 45bc71188d7543fab6829e5c4ef88694
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669191265
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/accuracy b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/accuracy
new file mode 100644
index 00000000..58f90bf4
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/accuracy
@@ -0,0 +1 @@
+1710669191274 0.9582118561710399 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/f1 b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/f1
new file mode 100644
index 00000000..6e39e526
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/f1
@@ -0,0 +1 @@
+1710669191275 0.9581842095502243 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/macro_f1_score b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/macro_f1_score
new file mode 100644
index 00000000..02491171
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669191279 0.9581808919557264 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/precision b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/precision
new file mode 100644
index 00000000..286a5d52
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/precision
@@ -0,0 +1 @@
+1710669191276 0.959355398321263 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/recall b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/recall
new file mode 100644
index 00000000..2cc6033d
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/recall
@@ -0,0 +1 @@
+1710669191277 0.9581406682079876 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/support b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/support
new file mode 100644
index 00000000..c695e70e
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/metrics/support
@@ -0,0 +1 @@
+1710669191278 1029.0 0
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/epochs b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/lr b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/model_name b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.runName b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.git.commit b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.name b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.type b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.user b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/45bc71188d7543fab6829e5c4ef88694/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/classification_report.json b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/classification_report.json
new file mode 100644
index 00000000..742e7945
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704142011834319,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9647058823529411,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9597701149425287,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9653179190751445,
+    "support": 516
+  },
+  "accuracy": 0.9650145772594753,
+  "macro avg": {
+    "precision": 0.9650921580629803,
+    "recall": 0.9649972800217598,
+    "f1-score": 0.9650119007140427,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9650766419022793,
+    "recall": 0.9650145772594753,
+    "f1-score": 0.9650127928958536,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/model_params.json b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/model_params.json
new file mode 100644
index 00000000..5ab8368b
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/meta.yaml b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/meta.yaml
new file mode 100644
index 00000000..ac2a59f0
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/artifacts
+end_time: 1710669098466
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 473b90234e0c4164824851a027f98e2a
+run_name: ItalyPowerDemand
+run_uuid: 473b90234e0c4164824851a027f98e2a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669098446
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/accuracy b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/accuracy
new file mode 100644
index 00000000..398d1e18
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/accuracy
@@ -0,0 +1 @@
+1710669098455 0.9650145772594753 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/f1 b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/f1
new file mode 100644
index 00000000..8fcab872
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/f1
@@ -0,0 +1 @@
+1710669098456 0.9650127928958536 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/macro_f1_score b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/macro_f1_score
new file mode 100644
index 00000000..b9117ba7
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669098460 0.9650119007140427 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/precision b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/precision
new file mode 100644
index 00000000..52a62ec2
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/precision
@@ -0,0 +1 @@
+1710669098457 0.9650921580629803 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/recall b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/recall
new file mode 100644
index 00000000..92aeae48
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/recall
@@ -0,0 +1 @@
+1710669098458 0.9649972800217598 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/support b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/support
new file mode 100644
index 00000000..9ac8c7bd
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/metrics/support
@@ -0,0 +1 @@
+1710669098459 1029.0 0
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/epochs b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/lr b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/model_name b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.runName b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.name b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.type b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.user b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/473b90234e0c4164824851a027f98e2a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/classification_report.json b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/model_params.json b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/model_params.json
new file mode 100644
index 00000000..8831c369
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/meta.yaml b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/meta.yaml
new file mode 100644
index 00000000..29ebdc7a
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/artifacts
+end_time: 1710669232625
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 482fd2603d304737b14a6143f88e5f07
+run_name: ItalyPowerDemand
+run_uuid: 482fd2603d304737b14a6143f88e5f07
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669232605
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/accuracy b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/accuracy
new file mode 100644
index 00000000..4ba22bbd
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/accuracy
@@ -0,0 +1 @@
+1710669232614 0.967930029154519 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/f1 b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/f1
new file mode 100644
index 00000000..3287ba78
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/f1
@@ -0,0 +1 @@
+1710669232615 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/macro_f1_score b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/macro_f1_score
new file mode 100644
index 00000000..c92e4019
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669232619 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/precision b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/precision
new file mode 100644
index 00000000..d87a6e51
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/precision
@@ -0,0 +1 @@
+1710669232616 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/recall b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/recall
new file mode 100644
index 00000000..50d235ba
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/recall
@@ -0,0 +1 @@
+1710669232617 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/support b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/support
new file mode 100644
index 00000000..3520b22c
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/metrics/support
@@ -0,0 +1 @@
+1710669232618 1029.0 0
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/epochs b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/lr b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/model_name b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.runName b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.git.commit b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.name b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.type b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.user b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/482fd2603d304737b14a6143f88e5f07/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/classification_report.json b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/model_params.json b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/model_params.json
new file mode 100644
index 00000000..6cb6d86a
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/meta.yaml b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/meta.yaml
new file mode 100644
index 00000000..71e92de4
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/artifacts
+end_time: 1710669263427
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 4d00644ba7464dc8b2101af26fa6edca
+run_name: ItalyPowerDemand
+run_uuid: 4d00644ba7464dc8b2101af26fa6edca
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669263407
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/accuracy b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/accuracy
new file mode 100644
index 00000000..e404b4ac
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/accuracy
@@ -0,0 +1 @@
+1710669263416 0.967930029154519 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/f1 b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/f1
new file mode 100644
index 00000000..de637282
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/f1
@@ -0,0 +1 @@
+1710669263417 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/macro_f1_score b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/macro_f1_score
new file mode 100644
index 00000000..fc8a22d9
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669263421 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/precision b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/precision
new file mode 100644
index 00000000..5703ec8d
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/precision
@@ -0,0 +1 @@
+1710669263418 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/recall b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/recall
new file mode 100644
index 00000000..a6bdf507
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/recall
@@ -0,0 +1 @@
+1710669263419 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/support b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/support
new file mode 100644
index 00000000..dad6ea9b
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/metrics/support
@@ -0,0 +1 @@
+1710669263420 1029.0 0
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/epochs b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/lr b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/model_name b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.runName b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.git.commit b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.name b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.type b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.user b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/4d00644ba7464dc8b2101af26fa6edca/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/classification_report.json b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/classification_report.json
new file mode 100644
index 00000000..ded821ff
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9759519038076152,
+    "recall": 0.949317738791423,
+    "f1-score": 0.9624505928853755,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9509433962264151,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9636711281070746,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.9634476500170152,
+    "recall": 0.9630309624189672,
+    "f1-score": 0.963060860496225,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9634111944666053,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630626397020876,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/model_params.json b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/model_params.json
new file mode 100644
index 00000000..da5104e5
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 3,
+  "bias": false,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.0
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/meta.yaml b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/meta.yaml
new file mode 100644
index 00000000..804ac9c3
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/artifacts
+end_time: 1710668801119
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 4e8a848771974ae1a3725278eb4a6818
+run_name: ItalyPowerDemand
+run_uuid: 4e8a848771974ae1a3725278eb4a6818
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668801100
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/accuracy b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/accuracy
new file mode 100644
index 00000000..c277f359
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/accuracy
@@ -0,0 +1 @@
+1710668801107 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/f1 b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/f1
new file mode 100644
index 00000000..c7b47458
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/f1
@@ -0,0 +1 @@
+1710668801108 0.9630626397020876 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/macro_f1_score b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/macro_f1_score
new file mode 100644
index 00000000..4eb224b4
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668801112 0.963060860496225 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/precision b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/precision
new file mode 100644
index 00000000..3278da0c
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/precision
@@ -0,0 +1 @@
+1710668801109 0.9634476500170152 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/recall b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/recall
new file mode 100644
index 00000000..5e31a883
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/recall
@@ -0,0 +1 @@
+1710668801111 0.9630309624189672 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/support b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/support
new file mode 100644
index 00000000..2fba0636
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/metrics/support
@@ -0,0 +1 @@
+1710668801112 1029.0 0
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/epochs b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/lr b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/model_name b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.runName b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.git.commit b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.name b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.type b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.user b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/4e8a848771974ae1a3725278eb4a6818/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/classification_report.json b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/model_params.json b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/model_params.json
new file mode 100644
index 00000000..51ac3851
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/meta.yaml b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/meta.yaml
new file mode 100644
index 00000000..481af6a8
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/artifacts
+end_time: 1710669460770
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 62b468dbf27b49a1a6b44d62f643ca2a
+run_name: ItalyPowerDemand
+run_uuid: 62b468dbf27b49a1a6b44d62f643ca2a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669460749
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/accuracy b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/accuracy
new file mode 100644
index 00000000..b5f6c1db
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/accuracy
@@ -0,0 +1 @@
+1710669460758 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/f1 b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/f1
new file mode 100644
index 00000000..bba33f91
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/f1
@@ -0,0 +1 @@
+1710669460759 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/macro_f1_score b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/macro_f1_score
new file mode 100644
index 00000000..ad5a1f7e
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669460763 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/precision b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/precision
new file mode 100644
index 00000000..e8b52766
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/precision
@@ -0,0 +1 @@
+1710669460760 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/recall b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/recall
new file mode 100644
index 00000000..9d8b8877
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/recall
@@ -0,0 +1 @@
+1710669460761 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/support b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/support
new file mode 100644
index 00000000..5fed3209
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/metrics/support
@@ -0,0 +1 @@
+1710669460762 1029.0 0
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/epochs b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/lr b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/model_name b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.runName b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.name b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.type b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.user b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/62b468dbf27b49a1a6b44d62f643ca2a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/classification_report.json b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/classification_report.json
new file mode 100644
index 00000000..e82abd50
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9496124031007752,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9523809523809523,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9551656920077972,
+    "recall": 0.9496124031007752,
+    "f1-score": 0.9523809523809523,
+    "support": 516
+  },
+  "accuracy": 0.9523809523809523,
+  "macro avg": {
+    "precision": 0.9523890475542862,
+    "recall": 0.9523890475542862,
+    "f1-score": 0.9523809523809523,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9523971427276201,
+    "recall": 0.9523809523809523,
+    "f1-score": 0.9523809523809523,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/model_params.json b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/model_params.json
new file mode 100644
index 00000000..819662d0
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/meta.yaml b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/meta.yaml
new file mode 100644
index 00000000..2fd1a643
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/artifacts
+end_time: 1710668794328
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 66b27f8c869c4819b02a52f9ae291a43
+run_name: ItalyPowerDemand
+run_uuid: 66b27f8c869c4819b02a52f9ae291a43
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668794309
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/accuracy b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/accuracy
new file mode 100644
index 00000000..fc14b0e1
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/accuracy
@@ -0,0 +1 @@
+1710668794317 0.9523809523809523 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/f1 b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/f1
new file mode 100644
index 00000000..db30fb29
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/f1
@@ -0,0 +1 @@
+1710668794318 0.9523809523809523 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/macro_f1_score b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/macro_f1_score
new file mode 100644
index 00000000..c2ebdbd4
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668794322 0.9523809523809523 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/precision b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/precision
new file mode 100644
index 00000000..6916b091
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/precision
@@ -0,0 +1 @@
+1710668794319 0.9523890475542862 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/recall b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/recall
new file mode 100644
index 00000000..5639a338
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/recall
@@ -0,0 +1 @@
+1710668794320 0.9523890475542862 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/support b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/support
new file mode 100644
index 00000000..f3a38b0e
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/metrics/support
@@ -0,0 +1 @@
+1710668794321 1029.0 0
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/epochs b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/lr b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/model_name b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.runName b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.git.commit b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.name b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.type b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.user b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/66b27f8c869c4819b02a52f9ae291a43/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/classification_report.json b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/classification_report.json
new file mode 100644
index 00000000..1127cd49
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9647058823529412,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9618768328445748,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9595375722543352,
+    "recall": 0.9651162790697675,
+    "f1-score": 0.9623188405797102,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9621217273036382,
+    "recall": 0.9620903032775738,
+    "f1-score": 0.9620978367121424,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9621141933239026,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.962098481038287,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/model_params.json b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/model_params.json
new file mode 100644
index 00000000..a035b9fb
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/meta.yaml b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/meta.yaml
new file mode 100644
index 00000000..ce0b6cd2
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/artifacts
+end_time: 1710668823437
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 66e8bb7651c94531afa9733386c9f441
+run_name: ItalyPowerDemand
+run_uuid: 66e8bb7651c94531afa9733386c9f441
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668823418
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/accuracy b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/accuracy
new file mode 100644
index 00000000..5c5b46b2
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/accuracy
@@ -0,0 +1 @@
+1710668823426 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/f1 b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/f1
new file mode 100644
index 00000000..9ec206d0
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/f1
@@ -0,0 +1 @@
+1710668823428 0.962098481038287 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/macro_f1_score b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/macro_f1_score
new file mode 100644
index 00000000..f6b73e9f
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668823431 0.9620978367121424 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/precision b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/precision
new file mode 100644
index 00000000..ca5ea9c8
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/precision
@@ -0,0 +1 @@
+1710668823429 0.9621217273036382 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/recall b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/recall
new file mode 100644
index 00000000..ddba34eb
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/recall
@@ -0,0 +1 @@
+1710668823430 0.9620903032775738 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/support b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/support
new file mode 100644
index 00000000..afb60a18
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/metrics/support
@@ -0,0 +1 @@
+1710668823430 1029.0 0
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/epochs b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/lr b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/model_name b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.runName b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.git.commit b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.name b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.type b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.user b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/66e8bb7651c94531afa9733386c9f441/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/classification_report.json b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/classification_report.json
new file mode 100644
index 00000000..e9fa90e0
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9776876267748479,
+    "recall": 0.9395711500974658,
+    "f1-score": 0.9582504970178927,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9421641791044776,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9600760456273764,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.9599259029396627,
+    "recall": 0.9591266603200508,
+    "f1-score": 0.9591632713226346,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9598741194882482,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.959165932472211,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/model_params.json b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/model_params.json
new file mode 100644
index 00000000..512ded6e
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 3,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/meta.yaml b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/meta.yaml
new file mode 100644
index 00000000..05bf4016
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/artifacts
+end_time: 1710668781276
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 670c1f88ef0943d99d497f5158c5e521
+run_name: ItalyPowerDemand
+run_uuid: 670c1f88ef0943d99d497f5158c5e521
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668781256
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/accuracy b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/accuracy
new file mode 100644
index 00000000..9b549908
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/accuracy
@@ -0,0 +1 @@
+1710668781265 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/f1 b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/f1
new file mode 100644
index 00000000..559176e5
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/f1
@@ -0,0 +1 @@
+1710668781266 0.959165932472211 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/macro_f1_score b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/macro_f1_score
new file mode 100644
index 00000000..e822ef46
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668781269 0.9591632713226346 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/precision b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/precision
new file mode 100644
index 00000000..9d4f5666
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/precision
@@ -0,0 +1 @@
+1710668781267 0.9599259029396627 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/recall b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/recall
new file mode 100644
index 00000000..e8641a03
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/recall
@@ -0,0 +1 @@
+1710668781267 0.9591266603200508 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/support b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/support
new file mode 100644
index 00000000..ba65246f
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/metrics/support
@@ -0,0 +1 @@
+1710668781268 1029.0 0
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/epochs b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/lr b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/model_name b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.runName b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.git.commit b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.name b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.type b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.user b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/670c1f88ef0943d99d497f5158c5e521/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/classification_report.json b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/classification_report.json
new file mode 100644
index 00000000..ce8beeeb
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.985655737704918,
+    "recall": 0.9376218323586745,
+    "f1-score": 0.961038961038961,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9408502772643254,
+    "recall": 0.9864341085271318,
+    "f1-score": 0.9631031220435193,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9632530074846217,
+    "recall": 0.9620279704429031,
+    "f1-score": 0.9620710415412401,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9631876934023468,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.9620740505222963,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/model_params.json b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/model_params.json
new file mode 100644
index 00000000..016144d9
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.2
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/meta.yaml b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/meta.yaml
new file mode 100644
index 00000000..7d3f0ce3
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/artifacts
+end_time: 1710668774216
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 698d5512f68d460492d1e535155e5ea9
+run_name: ItalyPowerDemand
+run_uuid: 698d5512f68d460492d1e535155e5ea9
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668774197
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/accuracy b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/accuracy
new file mode 100644
index 00000000..5cfdaf51
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/accuracy
@@ -0,0 +1 @@
+1710668774206 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/f1 b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/f1
new file mode 100644
index 00000000..750042aa
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/f1
@@ -0,0 +1 @@
+1710668774206 0.9620740505222963 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/macro_f1_score b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/macro_f1_score
new file mode 100644
index 00000000..6468e849
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668774210 0.9620710415412401 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/precision b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/precision
new file mode 100644
index 00000000..73f6185a
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/precision
@@ -0,0 +1 @@
+1710668774207 0.9632530074846217 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/recall b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/recall
new file mode 100644
index 00000000..21a9b961
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/recall
@@ -0,0 +1 @@
+1710668774208 0.9620279704429031 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/support b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/support
new file mode 100644
index 00000000..79fd71d3
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/metrics/support
@@ -0,0 +1 @@
+1710668774209 1029.0 0
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/epochs b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/lr b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/model_name b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.runName b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.git.commit b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.name b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.type b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.user b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/698d5512f68d460492d1e535155e5ea9/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/classification_report.json b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/classification_report.json
new file mode 100644
index 00000000..9e543260
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9742574257425742,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9666011787819253,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9599236641221374,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9673076923076923,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670905449323558,
+    "recall": 0.9669352645178838,
+    "f1-score": 0.9669544355448088,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670696502361161,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669554654479077,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/model_params.json b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/model_params.json
new file mode 100644
index 00000000..9fe245a2
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/meta.yaml b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/meta.yaml
new file mode 100644
index 00000000..2592be31
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/artifacts
+end_time: 1710668925016
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 6a7a9255bca844ccade0fe0d26865518
+run_name: ItalyPowerDemand
+run_uuid: 6a7a9255bca844ccade0fe0d26865518
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668924997
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/accuracy b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/accuracy
new file mode 100644
index 00000000..701dd05c
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/accuracy
@@ -0,0 +1 @@
+1710668925005 0.966958211856171 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/f1 b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/f1
new file mode 100644
index 00000000..8cb30701
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/f1
@@ -0,0 +1 @@
+1710668925006 0.9669554654479077 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/macro_f1_score b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/macro_f1_score
new file mode 100644
index 00000000..d50819c5
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668925010 0.9669544355448088 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/precision b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/precision
new file mode 100644
index 00000000..0bf0f1d2
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/precision
@@ -0,0 +1 @@
+1710668925007 0.9670905449323558 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/recall b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/recall
new file mode 100644
index 00000000..c1fc11e7
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/recall
@@ -0,0 +1 @@
+1710668925008 0.9669352645178838 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/support b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/support
new file mode 100644
index 00000000..24ec3ccf
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/metrics/support
@@ -0,0 +1 @@
+1710668925009 1029.0 0
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/epochs b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/lr b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/model_name b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.runName b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.git.commit b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.name b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.type b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.user b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/6a7a9255bca844ccade0fe0d26865518/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/classification_report.json b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/classification_report.json
new file mode 100644
index 00000000..c1a966ab
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9722772277227723,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9646365422396856,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9580152671755725,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9653846153846154,
+    "support": 516
+  },
+  "accuracy": 0.9650145772594753,
+  "macro avg": {
+    "precision": 0.9651462474491723,
+    "recall": 0.9649916134004262,
+    "f1-score": 0.9650105788121506,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9651254574192202,
+    "recall": 0.9650145772594753,
+    "f1-score": 0.9650116692977846,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/model_params.json b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/meta.yaml b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/meta.yaml
new file mode 100644
index 00000000..67d24506
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/artifacts
+end_time: 1710669057609
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 6c655c0783a5406e98d1227bad814a9f
+run_name: ItalyPowerDemand
+run_uuid: 6c655c0783a5406e98d1227bad814a9f
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669057589
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/accuracy b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/accuracy
new file mode 100644
index 00000000..2be3fca5
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/accuracy
@@ -0,0 +1 @@
+1710669057598 0.9650145772594753 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/f1 b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/f1
new file mode 100644
index 00000000..b5a45b86
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/f1
@@ -0,0 +1 @@
+1710669057599 0.9650116692977846 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/macro_f1_score b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/macro_f1_score
new file mode 100644
index 00000000..a1ded22f
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669057603 0.9650105788121506 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/precision b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/precision
new file mode 100644
index 00000000..8997017e
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/precision
@@ -0,0 +1 @@
+1710669057600 0.9651462474491723 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/recall b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/recall
new file mode 100644
index 00000000..c624adcb
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/recall
@@ -0,0 +1 @@
+1710669057601 0.9649916134004262 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/support b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/support
new file mode 100644
index 00000000..dabe5cb7
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/metrics/support
@@ -0,0 +1 @@
+1710669057602 1029.0 0
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/epochs b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/lr b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/model_name b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.runName b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.git.commit b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.name b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.type b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.user b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/6c655c0783a5406e98d1227bad814a9f/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/classification_report.json b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/model_params.json b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/model_params.json
new file mode 100644
index 00000000..78ca0208
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/meta.yaml b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/meta.yaml
new file mode 100644
index 00000000..4197a5ed
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/artifacts
+end_time: 1710669313005
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 6d84c5b130754e5db5c0aa498c942996
+run_name: ItalyPowerDemand
+run_uuid: 6d84c5b130754e5db5c0aa498c942996
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669312980
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/accuracy b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/accuracy
new file mode 100644
index 00000000..3ed0ce2a
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/accuracy
@@ -0,0 +1 @@
+1710669312992 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/f1 b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/f1
new file mode 100644
index 00000000..7c61ca6f
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/f1
@@ -0,0 +1 @@
+1710669312993 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/macro_f1_score b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/macro_f1_score
new file mode 100644
index 00000000..0e300b99
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669312998 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/precision b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/precision
new file mode 100644
index 00000000..94c86b1a
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/precision
@@ -0,0 +1 @@
+1710669312995 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/recall b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/recall
new file mode 100644
index 00000000..debc49e6
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/recall
@@ -0,0 +1 @@
+1710669312996 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/support b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/support
new file mode 100644
index 00000000..793b051e
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/metrics/support
@@ -0,0 +1 @@
+1710669312997 1029.0 0
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/epochs b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/lr b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/model_name b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.runName b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.git.commit b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.name b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.type b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.user b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/6d84c5b130754e5db5c0aa498c942996/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/classification_report.json b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/classification_report.json
new file mode 100644
index 00000000..1b6053bf
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705882352941176,
+    "recall": 0.9649122807017544,
+    "f1-score": 0.967741935483871,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9653179190751445,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9681159420289854,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9679530771846311,
+    "recall": 0.9679212566299469,
+    "f1-score": 0.9679289387564283,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.967945394507927,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679294839554735,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/model_params.json b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/model_params.json
new file mode 100644
index 00000000..51ac3851
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/meta.yaml b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/meta.yaml
new file mode 100644
index 00000000..905df3f4
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/artifacts
+end_time: 1710669470173
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 6de3fbf4e3fa4153b8b9f980bbd2bace
+run_name: ItalyPowerDemand
+run_uuid: 6de3fbf4e3fa4153b8b9f980bbd2bace
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669470153
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/accuracy b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/accuracy
new file mode 100644
index 00000000..80019961
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/accuracy
@@ -0,0 +1 @@
+1710669470162 0.967930029154519 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/f1 b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/f1
new file mode 100644
index 00000000..b7a3fffa
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/f1
@@ -0,0 +1 @@
+1710669470163 0.9679294839554735 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/macro_f1_score b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/macro_f1_score
new file mode 100644
index 00000000..054c9545
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669470167 0.9679289387564283 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/precision b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/precision
new file mode 100644
index 00000000..95cc5c1b
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/precision
@@ -0,0 +1 @@
+1710669470164 0.9679530771846311 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/recall b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/recall
new file mode 100644
index 00000000..b1a3de27
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/recall
@@ -0,0 +1 @@
+1710669470165 0.9679212566299469 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/support b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/support
new file mode 100644
index 00000000..59bf1244
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/metrics/support
@@ -0,0 +1 @@
+1710669470166 1029.0 0
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/epochs b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/lr b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/model_name b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.runName b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.git.commit b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.name b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.type b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.user b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/6de3fbf4e3fa4153b8b9f980bbd2bace/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/classification_report.json b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/classification_report.json
new file mode 100644
index 00000000..057da0f9
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9780876494023905,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.967487684729064,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9582542694497154,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9683604985618408,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9681709594260529,
+    "recall": 0.9678985901446122,
+    "f1-score": 0.9679240916454523,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9681420477934689,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679253639688237,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/model_params.json b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/model_params.json
new file mode 100644
index 00000000..bd274708
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/meta.yaml b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/meta.yaml
new file mode 100644
index 00000000..631d23fc
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/artifacts
+end_time: 1710669242871
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 6e2a57d533b24842a58b3ec2acfa982b
+run_name: ItalyPowerDemand
+run_uuid: 6e2a57d533b24842a58b3ec2acfa982b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669242850
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/accuracy b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/accuracy
new file mode 100644
index 00000000..8f9526d8
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/accuracy
@@ -0,0 +1 @@
+1710669242859 0.967930029154519 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/f1 b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/f1
new file mode 100644
index 00000000..8746c989
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/f1
@@ -0,0 +1 @@
+1710669242860 0.9679253639688237 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/macro_f1_score b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/macro_f1_score
new file mode 100644
index 00000000..46a575d4
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669242864 0.9679240916454523 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/precision b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/precision
new file mode 100644
index 00000000..62979f50
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/precision
@@ -0,0 +1 @@
+1710669242861 0.9681709594260529 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/recall b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/recall
new file mode 100644
index 00000000..2fb014b4
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/recall
@@ -0,0 +1 @@
+1710669242862 0.9678985901446122 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/support b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/support
new file mode 100644
index 00000000..ec5ac379
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/metrics/support
@@ -0,0 +1 @@
+1710669242863 1029.0 0
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/epochs b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/lr b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/model_name b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.runName b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.name b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.type b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.user b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/6e2a57d533b24842a58b3ec2acfa982b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/classification_report.json b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/classification_report.json
new file mode 100644
index 00000000..742e7945
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704142011834319,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9647058823529411,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9597701149425287,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9653179190751445,
+    "support": 516
+  },
+  "accuracy": 0.9650145772594753,
+  "macro avg": {
+    "precision": 0.9650921580629803,
+    "recall": 0.9649972800217598,
+    "f1-score": 0.9650119007140427,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9650766419022793,
+    "recall": 0.9650145772594753,
+    "f1-score": 0.9650127928958536,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/model_params.json b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/model_params.json
new file mode 100644
index 00000000..9fe245a2
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/meta.yaml b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/meta.yaml
new file mode 100644
index 00000000..7985b3e4
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/artifacts
+end_time: 1710668935187
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 706fa20d9976414d97065922849ecfc9
+run_name: ItalyPowerDemand
+run_uuid: 706fa20d9976414d97065922849ecfc9
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668935168
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/accuracy b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/accuracy
new file mode 100644
index 00000000..12b7dd6a
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/accuracy
@@ -0,0 +1 @@
+1710668935176 0.9650145772594753 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/f1 b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/f1
new file mode 100644
index 00000000..01768c52
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/f1
@@ -0,0 +1 @@
+1710668935177 0.9650127928958536 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/macro_f1_score b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/macro_f1_score
new file mode 100644
index 00000000..a994261f
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668935181 0.9650119007140427 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/precision b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/precision
new file mode 100644
index 00000000..5bd54e64
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/precision
@@ -0,0 +1 @@
+1710668935178 0.9650921580629803 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/recall b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/recall
new file mode 100644
index 00000000..92ec3655
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/recall
@@ -0,0 +1 @@
+1710668935179 0.9649972800217598 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/support b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/support
new file mode 100644
index 00000000..36000f19
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/metrics/support
@@ -0,0 +1 @@
+1710668935180 1029.0 0
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/epochs b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/lr b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/model_name b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.runName b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.git.commit b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.name b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.type b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.user b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/706fa20d9976414d97065922849ecfc9/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/classification_report.json b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/classification_report.json
new file mode 100644
index 00000000..118d8d40
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9817073170731707,
+    "recall": 0.9415204678362573,
+    "f1-score": 0.9611940298507463,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9441340782122905,
+    "recall": 0.9825581395348837,
+    "f1-score": 0.9629629629629629,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9629206976427306,
+    "recall": 0.9620393036855706,
+    "f1-score": 0.9620784964068546,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9628659261575105,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.9620810750265517,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/model_params.json b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/model_params.json
new file mode 100644
index 00000000..acffb97b
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/meta.yaml b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/meta.yaml
new file mode 100644
index 00000000..b8eb0990
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/artifacts
+end_time: 1710669549663
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 70a1660da8e14d03ac253140479e4d02
+run_name: ItalyPowerDemand
+run_uuid: 70a1660da8e14d03ac253140479e4d02
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669549643
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/accuracy b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/accuracy
new file mode 100644
index 00000000..d838e4ee
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/accuracy
@@ -0,0 +1 @@
+1710669549652 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/f1 b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/f1
new file mode 100644
index 00000000..df1961d3
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/f1
@@ -0,0 +1 @@
+1710669549653 0.9620810750265517 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/macro_f1_score b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/macro_f1_score
new file mode 100644
index 00000000..c1c47cf8
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669549657 0.9620784964068546 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/precision b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/precision
new file mode 100644
index 00000000..570d3440
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/precision
@@ -0,0 +1 @@
+1710669549654 0.9629206976427306 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/recall b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/recall
new file mode 100644
index 00000000..41dddc21
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/recall
@@ -0,0 +1 @@
+1710669549655 0.9620393036855706 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/support b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/support
new file mode 100644
index 00000000..0f00fbd7
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/metrics/support
@@ -0,0 +1 @@
+1710669549656 1029.0 0
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/epochs b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/lr b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/model_name b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.runName b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.git.commit b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.name b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.type b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.user b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/70a1660da8e14d03ac253140479e4d02/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/classification_report.json b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/classification_report.json
new file mode 100644
index 00000000..9c5e414e
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9741035856573705,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9635467980295567,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9544592030360531,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9645254074784276,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9642813943467119,
+    "recall": 0.9640112879096967,
+    "f1-score": 0.9640361027539921,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9642527582204417,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.9640375292983782,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/model_params.json b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/model_params.json
new file mode 100644
index 00000000..47af2ec2
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/meta.yaml b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/meta.yaml
new file mode 100644
index 00000000..f2b63440
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/artifacts
+end_time: 1710669134543
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 734460cd911b4fe19996eca452d41f2e
+run_name: ItalyPowerDemand
+run_uuid: 734460cd911b4fe19996eca452d41f2e
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669134523
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/accuracy b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/accuracy
new file mode 100644
index 00000000..71a9d9b7
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/accuracy
@@ -0,0 +1 @@
+1710669134532 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/f1 b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/f1
new file mode 100644
index 00000000..895fc106
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/f1
@@ -0,0 +1 @@
+1710669134533 0.9640375292983782 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/macro_f1_score b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/macro_f1_score
new file mode 100644
index 00000000..c17818ff
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669134537 0.9640361027539921 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/precision b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/precision
new file mode 100644
index 00000000..6616de57
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/precision
@@ -0,0 +1 @@
+1710669134534 0.9642813943467119 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/recall b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/recall
new file mode 100644
index 00000000..4e7cdcac
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/recall
@@ -0,0 +1 @@
+1710669134535 0.9640112879096967 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/support b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/support
new file mode 100644
index 00000000..927ae4c5
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/metrics/support
@@ -0,0 +1 @@
+1710669134536 1029.0 0
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/epochs b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/lr b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/model_name b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.runName b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.git.commit b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.name b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.type b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.user b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/734460cd911b4fe19996eca452d41f2e/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/classification_report.json b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/classification_report.json
new file mode 100644
index 00000000..aff63d6c
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9740518962075848,
+    "recall": 0.9512670565302144,
+    "f1-score": 0.9625246548323472,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9526515151515151,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9636015325670498,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.96335170567955,
+    "recall": 0.963036629040301,
+    "f1-score": 0.9630630936996984,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9633205097887977,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630646634923147,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/model_params.json b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/model_params.json
new file mode 100644
index 00000000..acffb97b
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/meta.yaml b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/meta.yaml
new file mode 100644
index 00000000..86c5be5a
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/artifacts
+end_time: 1710669556267
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 7da71ed1493f4d46a4543120e9fd9e97
+run_name: ItalyPowerDemand
+run_uuid: 7da71ed1493f4d46a4543120e9fd9e97
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669556246
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/accuracy b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/accuracy
new file mode 100644
index 00000000..ee85797d
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/accuracy
@@ -0,0 +1 @@
+1710669556255 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/f1 b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/f1
new file mode 100644
index 00000000..c838b2ab
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/f1
@@ -0,0 +1 @@
+1710669556256 0.9630646634923147 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/macro_f1_score b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/macro_f1_score
new file mode 100644
index 00000000..8191fc9b
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669556261 0.9630630936996984 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/precision b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/precision
new file mode 100644
index 00000000..3482b09a
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/precision
@@ -0,0 +1 @@
+1710669556257 0.96335170567955 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/recall b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/recall
new file mode 100644
index 00000000..565e73a4
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/recall
@@ -0,0 +1 @@
+1710669556258 0.963036629040301 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/support b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/support
new file mode 100644
index 00000000..6e2741c9
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/metrics/support
@@ -0,0 +1 @@
+1710669556260 1029.0 0
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/epochs b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/lr b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/model_name b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.runName b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.git.commit b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.name b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.type b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.user b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/7da71ed1493f4d46a4543120e9fd9e97/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/classification_report.json b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/classification_report.json
new file mode 100644
index 00000000..bbca671b
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9736842105263158,
+    "recall": 0.9376218323586745,
+    "f1-score": 0.955312810327706,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9401869158878504,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9571836346336822,
+    "support": 516
+  },
+  "accuracy": 0.956268221574344,
+  "macro avg": {
+    "precision": 0.9569355632070831,
+    "recall": 0.956214016954531,
+    "f1-score": 0.9562482224806941,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9568867333315167,
+    "recall": 0.956268221574344,
+    "f1-score": 0.9562509496298282,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/model_params.json b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/model_params.json
new file mode 100644
index 00000000..a035b9fb
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/meta.yaml b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/meta.yaml
new file mode 100644
index 00000000..8526ed88
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/artifacts
+end_time: 1710668844514
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 84c11a648f8449ec99fab843eeabcd85
+run_name: ItalyPowerDemand
+run_uuid: 84c11a648f8449ec99fab843eeabcd85
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668844495
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/accuracy b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/accuracy
new file mode 100644
index 00000000..a1a92938
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/accuracy
@@ -0,0 +1 @@
+1710668844503 0.956268221574344 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/f1 b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/f1
new file mode 100644
index 00000000..044b034e
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/f1
@@ -0,0 +1 @@
+1710668844504 0.9562509496298282 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/macro_f1_score b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/macro_f1_score
new file mode 100644
index 00000000..7a3db620
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668844508 0.9562482224806941 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/precision b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/precision
new file mode 100644
index 00000000..adbfcda3
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/precision
@@ -0,0 +1 @@
+1710668844505 0.9569355632070831 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/recall b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/recall
new file mode 100644
index 00000000..78af7f65
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/recall
@@ -0,0 +1 @@
+1710668844506 0.956214016954531 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/support b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/support
new file mode 100644
index 00000000..b0e063ec
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/metrics/support
@@ -0,0 +1 @@
+1710668844507 1029.0 0
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/epochs b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/lr b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/model_name b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.runName b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.git.commit b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.name b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.type b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.user b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/84c11a648f8449ec99fab843eeabcd85/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/classification_report.json b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/classification_report.json
new file mode 100644
index 00000000..a0e5d6b2
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.974,
+    "recall": 0.949317738791423,
+    "f1-score": 0.9615004935834156,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9508506616257089,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9626794258373205,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9624253308128544,
+    "recall": 0.9620619701709052,
+    "f1-score": 0.962089959710368,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9623915854216382,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.9620916782705049,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/model_params.json b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/model_params.json
new file mode 100644
index 00000000..893b1990
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/meta.yaml b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/meta.yaml
new file mode 100644
index 00000000..6f0abfdb
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/artifacts
+end_time: 1710669083491
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 85f783ef0c2e468280abfbf6e360c6d8
+run_name: ItalyPowerDemand
+run_uuid: 85f783ef0c2e468280abfbf6e360c6d8
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669083471
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/accuracy b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/accuracy
new file mode 100644
index 00000000..9f20459d
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/accuracy
@@ -0,0 +1 @@
+1710669083479 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/f1 b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/f1
new file mode 100644
index 00000000..58a9521b
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/f1
@@ -0,0 +1 @@
+1710669083480 0.9620916782705049 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/macro_f1_score b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/macro_f1_score
new file mode 100644
index 00000000..40c5ebc0
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669083484 0.962089959710368 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/precision b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/precision
new file mode 100644
index 00000000..b15a4760
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/precision
@@ -0,0 +1 @@
+1710669083481 0.9624253308128544 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/recall b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/recall
new file mode 100644
index 00000000..f676dc0b
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/recall
@@ -0,0 +1 @@
+1710669083482 0.9620619701709052 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/support b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/support
new file mode 100644
index 00000000..9229e582
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/metrics/support
@@ -0,0 +1 @@
+1710669083483 1029.0 0
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/epochs b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/lr b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/model_name b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.runName b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.git.commit b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.name b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.type b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.user b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/85f783ef0c2e468280abfbf6e360c6d8/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/classification_report.json b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/classification_report.json
new file mode 100644
index 00000000..4b1b0d12
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723865877712031,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9666666666666666,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616858237547893,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9672447013487475,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670362057629962,
+    "recall": 0.9669409311392175,
+    "f1-score": 0.966955684007707,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670206069816312,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669565266238617,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/model_params.json b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/model_params.json
new file mode 100644
index 00000000..92debfc2
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/meta.yaml b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/meta.yaml
new file mode 100644
index 00000000..81fb5c47
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/artifacts
+end_time: 1710669141529
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 8a7fd1f74d3c44f299890dac6b9ff1ab
+run_name: ItalyPowerDemand
+run_uuid: 8a7fd1f74d3c44f299890dac6b9ff1ab
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669141510
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/accuracy b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/accuracy
new file mode 100644
index 00000000..9ad900b0
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/accuracy
@@ -0,0 +1 @@
+1710669141518 0.966958211856171 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/f1 b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/f1
new file mode 100644
index 00000000..81fe31ed
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/f1
@@ -0,0 +1 @@
+1710669141519 0.9669565266238617 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/macro_f1_score b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/macro_f1_score
new file mode 100644
index 00000000..881f4388
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669141523 0.966955684007707 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/precision b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/precision
new file mode 100644
index 00000000..7c2ea794
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/precision
@@ -0,0 +1 @@
+1710669141520 0.9670362057629962 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/recall b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/recall
new file mode 100644
index 00000000..5e9ff332
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/recall
@@ -0,0 +1 @@
+1710669141521 0.9669409311392175 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/support b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/support
new file mode 100644
index 00000000..e4dda3a8
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/metrics/support
@@ -0,0 +1 @@
+1710669141522 1029.0 0
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/epochs b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/lr b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/model_name b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.runName b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.git.commit b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.name b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.type b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.user b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/8a7fd1f74d3c44f299890dac6b9ff1ab/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/classification_report.json b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/classification_report.json
new file mode 100644
index 00000000..ded821ff
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9759519038076152,
+    "recall": 0.949317738791423,
+    "f1-score": 0.9624505928853755,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9509433962264151,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9636711281070746,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.9634476500170152,
+    "recall": 0.9630309624189672,
+    "f1-score": 0.963060860496225,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9634111944666053,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630626397020876,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/model_params.json b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/model_params.json
new file mode 100644
index 00000000..47af2ec2
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/meta.yaml b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/meta.yaml
new file mode 100644
index 00000000..4a297825
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/artifacts
+end_time: 1710669120477
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 8c158b21e7fd457d82e9625340df4a58
+run_name: ItalyPowerDemand
+run_uuid: 8c158b21e7fd457d82e9625340df4a58
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669120458
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/accuracy b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/accuracy
new file mode 100644
index 00000000..dd044a92
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/accuracy
@@ -0,0 +1 @@
+1710669120466 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/f1 b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/f1
new file mode 100644
index 00000000..d1f48fc5
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/f1
@@ -0,0 +1 @@
+1710669120467 0.9630626397020876 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/macro_f1_score b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/macro_f1_score
new file mode 100644
index 00000000..bb7354c0
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669120471 0.963060860496225 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/precision b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/precision
new file mode 100644
index 00000000..24c15fb4
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/precision
@@ -0,0 +1 @@
+1710669120468 0.9634476500170152 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/recall b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/recall
new file mode 100644
index 00000000..dc173060
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/recall
@@ -0,0 +1 @@
+1710669120469 0.9630309624189672 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/support b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/support
new file mode 100644
index 00000000..f9f0a54f
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/metrics/support
@@ -0,0 +1 @@
+1710669120470 1029.0 0
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/epochs b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/lr b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/model_name b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.runName b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.git.commit b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.name b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.type b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.user b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/8c158b21e7fd457d82e9625340df4a58/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/classification_report.json b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/classification_report.json
new file mode 100644
index 00000000..d04cec70
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9742063492063492,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9655850540806292,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9580952380952381,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9663784822286263,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9661507936507936,
+    "recall": 0.9659606056484882,
+    "f1-score": 0.9659817681546278,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9661273080660836,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.9659829247554266,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/model_params.json b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/model_params.json
new file mode 100644
index 00000000..9fe245a2
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/meta.yaml b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/meta.yaml
new file mode 100644
index 00000000..f597bdc5
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/artifacts
+end_time: 1710668946451
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 8ed7f1365952422bbd64e91f11c8419b
+run_name: ItalyPowerDemand
+run_uuid: 8ed7f1365952422bbd64e91f11c8419b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668946431
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/accuracy b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/accuracy
new file mode 100644
index 00000000..88179f1d
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/accuracy
@@ -0,0 +1 @@
+1710668946440 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/f1 b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/f1
new file mode 100644
index 00000000..0104c5f9
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/f1
@@ -0,0 +1 @@
+1710668946441 0.9659829247554266 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/macro_f1_score b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/macro_f1_score
new file mode 100644
index 00000000..7227de47
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668946445 0.9659817681546278 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/precision b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/precision
new file mode 100644
index 00000000..dc94f923
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/precision
@@ -0,0 +1 @@
+1710668946442 0.9661507936507936 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/recall b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/recall
new file mode 100644
index 00000000..50c09670
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/recall
@@ -0,0 +1 @@
+1710668946443 0.9659606056484882 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/support b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/support
new file mode 100644
index 00000000..2221899b
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/metrics/support
@@ -0,0 +1 @@
+1710668946444 1029.0 0
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/epochs b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/lr b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/model_name b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.runName b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.name b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.type b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.user b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/8ed7f1365952422bbd64e91f11c8419b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/classification_report.json b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/classification_report.json
new file mode 100644
index 00000000..45bd94f7
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723320158102767,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9656526005888126,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9598470363288719,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9663137632338787,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660895260695743,
+    "recall": 0.9659662722698218,
+    "f1-score": 0.9659831819113457,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.96607132639103,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965984145705289,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/model_params.json b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/model_params.json
new file mode 100644
index 00000000..5ab8368b
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/meta.yaml b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/meta.yaml
new file mode 100644
index 00000000..6368147a
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/artifacts
+end_time: 1710669105555
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 952eb2ea30374228b39055d68403264c
+run_name: ItalyPowerDemand
+run_uuid: 952eb2ea30374228b39055d68403264c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669105535
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/accuracy b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/accuracy
new file mode 100644
index 00000000..3b2cac02
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/accuracy
@@ -0,0 +1 @@
+1710669105544 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/f1 b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/f1
new file mode 100644
index 00000000..41e5e0cb
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/f1
@@ -0,0 +1 @@
+1710669105545 0.965984145705289 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/macro_f1_score b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/macro_f1_score
new file mode 100644
index 00000000..043e5f7b
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669105549 0.9659831819113457 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/precision b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/precision
new file mode 100644
index 00000000..fcab3e77
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/precision
@@ -0,0 +1 @@
+1710669105546 0.9660895260695743 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/recall b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/recall
new file mode 100644
index 00000000..3596f3dd
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/recall
@@ -0,0 +1 @@
+1710669105547 0.9659662722698218 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/support b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/support
new file mode 100644
index 00000000..8d5a6336
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/metrics/support
@@ -0,0 +1 @@
+1710669105548 1029.0 0
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/epochs b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/lr b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/model_name b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.runName b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.git.commit b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.name b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.type b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.user b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/952eb2ea30374228b39055d68403264c/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/classification_report.json b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/classification_report.json
new file mode 100644
index 00000000..bad15346
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.974308300395257,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9676153091265947,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9617590822179732,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9682386910490857,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680336913066151,
+    "recall": 0.9679099233872795,
+    "f1-score": 0.9679270000878402,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.968015397985657,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679279088078437,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/model_params.json b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/model_params.json
new file mode 100644
index 00000000..f10781c7
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/meta.yaml b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/meta.yaml
new file mode 100644
index 00000000..63968ec8
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/artifacts
+end_time: 1710669390166
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9958bc3f6421473c9cb3978ae73b7d74
+run_name: ItalyPowerDemand
+run_uuid: 9958bc3f6421473c9cb3978ae73b7d74
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669390145
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/accuracy b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/accuracy
new file mode 100644
index 00000000..adc5450f
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/accuracy
@@ -0,0 +1 @@
+1710669390154 0.967930029154519 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/f1 b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/f1
new file mode 100644
index 00000000..7995b28d
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/f1
@@ -0,0 +1 @@
+1710669390155 0.9679279088078437 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/macro_f1_score b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/macro_f1_score
new file mode 100644
index 00000000..d1a11deb
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669390159 0.9679270000878402 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/precision b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/precision
new file mode 100644
index 00000000..c0839141
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/precision
@@ -0,0 +1 @@
+1710669390156 0.9680336913066151 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/recall b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/recall
new file mode 100644
index 00000000..423e334e
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/recall
@@ -0,0 +1 @@
+1710669390157 0.9679099233872795 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/support b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/support
new file mode 100644
index 00000000..d8d8354d
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/metrics/support
@@ -0,0 +1 @@
+1710669390158 1029.0 0
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/epochs b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/lr b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/model_name b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.runName b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.name b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.type b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.user b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9958bc3f6421473c9cb3978ae73b7d74/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/classification_report.json b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/model_params.json b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/model_params.json
new file mode 100644
index 00000000..9fe245a2
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/meta.yaml b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/meta.yaml
new file mode 100644
index 00000000..09fe73fd
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/artifacts
+end_time: 1710668956715
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9a5aed86272743118603ef093850df9b
+run_name: ItalyPowerDemand
+run_uuid: 9a5aed86272743118603ef093850df9b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668956695
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/accuracy b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/accuracy
new file mode 100644
index 00000000..abe3a8fe
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/accuracy
@@ -0,0 +1 @@
+1710668956704 0.966958211856171 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/f1 b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/f1
new file mode 100644
index 00000000..3b6631d8
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/f1
@@ -0,0 +1 @@
+1710668956705 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/macro_f1_score b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/macro_f1_score
new file mode 100644
index 00000000..6c8c581d
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668956709 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/precision b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/precision
new file mode 100644
index 00000000..3d1f0f5a
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/precision
@@ -0,0 +1 @@
+1710668956706 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/recall b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/recall
new file mode 100644
index 00000000..0238ae14
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/recall
@@ -0,0 +1 @@
+1710668956707 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/support b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/support
new file mode 100644
index 00000000..4bc26065
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/metrics/support
@@ -0,0 +1 @@
+1710668956708 1029.0 0
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/epochs b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/lr b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/model_name b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.runName b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.name b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.type b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.user b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9a5aed86272743118603ef093850df9b/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/classification_report.json b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/classification_report.json
new file mode 100644
index 00000000..641b1318
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9721115537848606,
+    "recall": 0.9512670565302144,
+    "f1-score": 0.9615763546798028,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.952561669829222,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9626078619367209,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9623366118070413,
+    "recall": 0.962067636792239,
+    "f1-score": 0.9620921083082619,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9623081134339281,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.9620936119631553,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/model_params.json b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/model_params.json
new file mode 100644
index 00000000..acffb97b
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/meta.yaml b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/meta.yaml
new file mode 100644
index 00000000..1f7fc8eb
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/artifacts
+end_time: 1710669569602
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9ce9b7ebedc046ada390178eadc52071
+run_name: ItalyPowerDemand
+run_uuid: 9ce9b7ebedc046ada390178eadc52071
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669569581
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/accuracy b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/accuracy
new file mode 100644
index 00000000..9621ab3a
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/accuracy
@@ -0,0 +1 @@
+1710669569590 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/f1 b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/f1
new file mode 100644
index 00000000..09c9734f
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/f1
@@ -0,0 +1 @@
+1710669569591 0.9620936119631553 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/macro_f1_score b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/macro_f1_score
new file mode 100644
index 00000000..740d91ab
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669569595 0.9620921083082619 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/precision b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/precision
new file mode 100644
index 00000000..ea90a2b0
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/precision
@@ -0,0 +1 @@
+1710669569592 0.9623366118070413 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/recall b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/recall
new file mode 100644
index 00000000..cc277fbe
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/recall
@@ -0,0 +1 @@
+1710669569593 0.962067636792239 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/support b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/support
new file mode 100644
index 00000000..8753a763
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/metrics/support
@@ -0,0 +1 @@
+1710669569594 1029.0 0
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/epochs b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/lr b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/model_name b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.runName b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.name b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.type b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.user b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9ce9b7ebedc046ada390178eadc52071/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/classification_report.json b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/classification_report.json
new file mode 100644
index 00000000..a2ff7483
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9743589743589743,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9686274509803922,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9636015325670498,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9691714836223507,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689802534630121,
+    "recall": 0.9688845822566752,
+    "f1-score": 0.9688994673013714,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.968964572060983,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689002603518698,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/model_params.json b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/model_params.json
new file mode 100644
index 00000000..bd274708
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/meta.yaml b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/meta.yaml
new file mode 100644
index 00000000..3667a517
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/artifacts
+end_time: 1710669222761
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9dffa122555e4178981584df76da5583
+run_name: ItalyPowerDemand
+run_uuid: 9dffa122555e4178981584df76da5583
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669222740
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/accuracy b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/accuracy
new file mode 100644
index 00000000..83605e35
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/accuracy
@@ -0,0 +1 @@
+1710669222749 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/f1 b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/f1
new file mode 100644
index 00000000..40d2522c
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/f1
@@ -0,0 +1 @@
+1710669222750 0.9689002603518698 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/macro_f1_score b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/macro_f1_score
new file mode 100644
index 00000000..9b556663
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669222754 0.9688994673013714 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/precision b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/precision
new file mode 100644
index 00000000..1e32bf66
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/precision
@@ -0,0 +1 @@
+1710669222751 0.9689802534630121 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/recall b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/recall
new file mode 100644
index 00000000..feec6e76
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/recall
@@ -0,0 +1 @@
+1710669222752 0.9688845822566752 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/support b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/support
new file mode 100644
index 00000000..74b28134
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/metrics/support
@@ -0,0 +1 @@
+1710669222753 1029.0 0
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/epochs b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/lr b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/model_name b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.runName b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.name b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.type b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.user b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9dffa122555e4178981584df76da5583/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/classification_report.json b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/classification_report.json
new file mode 100644
index 00000000..c1a966ab
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9722772277227723,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9646365422396856,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9580152671755725,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9653846153846154,
+    "support": 516
+  },
+  "accuracy": 0.9650145772594753,
+  "macro avg": {
+    "precision": 0.9651462474491723,
+    "recall": 0.9649916134004262,
+    "f1-score": 0.9650105788121506,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9651254574192202,
+    "recall": 0.9650145772594753,
+    "f1-score": 0.9650116692977846,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/model_params.json b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/model_params.json
new file mode 100644
index 00000000..9d25c9a6
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/meta.yaml b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/meta.yaml
new file mode 100644
index 00000000..6fd2dc18
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/artifacts
+end_time: 1710668895743
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9e901ff6dd274822bef5c54d07998afa
+run_name: ItalyPowerDemand
+run_uuid: 9e901ff6dd274822bef5c54d07998afa
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668895722
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/accuracy b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/accuracy
new file mode 100644
index 00000000..e260b355
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/accuracy
@@ -0,0 +1 @@
+1710668895732 0.9650145772594753 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/f1 b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/f1
new file mode 100644
index 00000000..bc2b2e48
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/f1
@@ -0,0 +1 @@
+1710668895733 0.9650116692977846 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/macro_f1_score b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/macro_f1_score
new file mode 100644
index 00000000..91c42ee6
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668895737 0.9650105788121506 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/precision b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/precision
new file mode 100644
index 00000000..985c8b50
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/precision
@@ -0,0 +1 @@
+1710668895734 0.9651462474491723 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/recall b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/recall
new file mode 100644
index 00000000..34c8a07d
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/recall
@@ -0,0 +1 @@
+1710668895735 0.9649916134004262 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/support b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/support
new file mode 100644
index 00000000..7f006b40
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/metrics/support
@@ -0,0 +1 @@
+1710668895736 1029.0 0
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/epochs b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/lr b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/model_name b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.runName b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.name b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.type b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.user b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9e901ff6dd274822bef5c54d07998afa/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/classification_report.json b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/classification_report.json
new file mode 100644
index 00000000..de2fe1d4
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9702970297029703,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9626719056974459,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9561068702290076,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9634615384615385,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.963201949965989,
+    "recall": 0.9630479622829684,
+    "f1-score": 0.9630667220794922,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9631812646023243,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630678731476614,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/model_params.json b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/model_params.json
new file mode 100644
index 00000000..9663dbec
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/meta.yaml b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/meta.yaml
new file mode 100644
index 00000000..3d580e07
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/artifacts
+end_time: 1710669500202
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: 9f433f7dd6304779ad1e9ce814d904fa
+run_name: ItalyPowerDemand
+run_uuid: 9f433f7dd6304779ad1e9ce814d904fa
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669500180
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/accuracy b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/accuracy
new file mode 100644
index 00000000..4b8f3889
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/accuracy
@@ -0,0 +1 @@
+1710669500189 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/f1 b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/f1
new file mode 100644
index 00000000..e4057043
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/f1
@@ -0,0 +1 @@
+1710669500190 0.9630678731476614 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/macro_f1_score b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/macro_f1_score
new file mode 100644
index 00000000..dcf04305
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669500195 0.9630667220794922 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/precision b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/precision
new file mode 100644
index 00000000..48dfefb5
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/precision
@@ -0,0 +1 @@
+1710669500191 0.963201949965989 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/recall b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/recall
new file mode 100644
index 00000000..e2d31f82
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/recall
@@ -0,0 +1 @@
+1710669500193 0.9630479622829684 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/support b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/support
new file mode 100644
index 00000000..6b08126a
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/metrics/support
@@ -0,0 +1 @@
+1710669500194 1029.0 0
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/epochs b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/lr b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/model_name b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.runName b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.git.commit b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.name b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.type b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.user b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/9f433f7dd6304779ad1e9ce814d904fa/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/classification_report.json b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/classification_report.json
new file mode 100644
index 00000000..625222a4
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9683168316831683,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9607072691552062,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9541984732824428,
+    "recall": 0.9689922480620154,
+    "f1-score": 0.9615384615384615,
+    "support": 516
+  },
+  "accuracy": 0.9611273080660836,
+  "macro avg": {
+    "precision": 0.9612576524828056,
+    "recall": 0.9611043111655106,
+    "f1-score": 0.9611228653468338,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9612370717854285,
+    "recall": 0.9611273080660836,
+    "f1-score": 0.9611240769975383,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/model_params.json b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/model_params.json
new file mode 100644
index 00000000..9663dbec
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/meta.yaml b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/meta.yaml
new file mode 100644
index 00000000..46a87133
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/artifacts
+end_time: 1710669486279
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: a08f25b027e34cc188506af64d2a8173
+run_name: ItalyPowerDemand
+run_uuid: a08f25b027e34cc188506af64d2a8173
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669486259
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/accuracy b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/accuracy
new file mode 100644
index 00000000..21459ffa
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/accuracy
@@ -0,0 +1 @@
+1710669486267 0.9611273080660836 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/f1 b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/f1
new file mode 100644
index 00000000..bfdeb5c7
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/f1
@@ -0,0 +1 @@
+1710669486269 0.9611240769975383 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/macro_f1_score b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/macro_f1_score
new file mode 100644
index 00000000..35a5bbf9
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669486273 0.9611228653468338 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/precision b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/precision
new file mode 100644
index 00000000..bea059ee
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/precision
@@ -0,0 +1 @@
+1710669486270 0.9612576524828056 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/recall b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/recall
new file mode 100644
index 00000000..aeb38390
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/recall
@@ -0,0 +1 @@
+1710669486271 0.9611043111655106 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/support b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/support
new file mode 100644
index 00000000..7760b227
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/metrics/support
@@ -0,0 +1 @@
+1710669486272 1029.0 0
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/epochs b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/lr b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/model_name b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.runName b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.git.commit b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.name b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.type b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.user b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/a08f25b027e34cc188506af64d2a8173/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/classification_report.json b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/classification_report.json
new file mode 100644
index 00000000..bdf1609c
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9724950884086444,
+    "recall": 0.9649122807017544,
+    "f1-score": 0.9686888454011742,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9653846153846154,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9691119691119691,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689398518966299,
+    "recall": 0.9688902488780089,
+    "f1-score": 0.9689004072565717,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9689294867756038,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689010240549839,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/model_params.json b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/model_params.json
new file mode 100644
index 00000000..9a1735a6
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/meta.yaml b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/meta.yaml
new file mode 100644
index 00000000..b7184054
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/artifacts
+end_time: 1710669534028
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: a1c8671c040c45e2b317937bae245dec
+run_name: ItalyPowerDemand
+run_uuid: a1c8671c040c45e2b317937bae245dec
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669534007
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/accuracy b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/accuracy
new file mode 100644
index 00000000..42ddbc12
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/accuracy
@@ -0,0 +1 @@
+1710669534016 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/f1 b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/f1
new file mode 100644
index 00000000..c9843451
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/f1
@@ -0,0 +1 @@
+1710669534017 0.9689010240549839 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/macro_f1_score b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/macro_f1_score
new file mode 100644
index 00000000..9ac7ca8c
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669534021 0.9689004072565717 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/precision b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/precision
new file mode 100644
index 00000000..791d259a
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/precision
@@ -0,0 +1 @@
+1710669534018 0.9689398518966299 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/recall b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/recall
new file mode 100644
index 00000000..fdab8534
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/recall
@@ -0,0 +1 @@
+1710669534019 0.9688902488780089 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/support b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/support
new file mode 100644
index 00000000..c20c0c5a
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/metrics/support
@@ -0,0 +1 @@
+1710669534020 1029.0 0
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/epochs b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/lr b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/model_name b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.runName b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.git.commit b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.name b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.type b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.user b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/a1c8671c040c45e2b317937bae245dec/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/classification_report.json b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/classification_report.json
new file mode 100644
index 00000000..5d4ebb94
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9758064516129032,
+    "recall": 0.9434697855750487,
+    "f1-score": 0.9593657086223983,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9455909943714822,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9609151572926596,
+    "support": 516
+  },
+  "accuracy": 0.9601554907677357,
+  "macro avg": {
+    "precision": 0.9606987229921927,
+    "recall": 0.9601069858107801,
+    "f1-score": 0.9601404329575289,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9606546771361557,
+    "recall": 0.9601554907677357,
+    "f1-score": 0.96014269162906,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/model_params.json b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/model_params.json
new file mode 100644
index 00000000..6d3eada0
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/meta.yaml b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/meta.yaml
new file mode 100644
index 00000000..d9dbfa5b
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/artifacts
+end_time: 1710668766156
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: a38b2efc242747d9a75368a697e7bd6a
+run_name: ItalyPowerDemand
+run_uuid: a38b2efc242747d9a75368a697e7bd6a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668766138
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/accuracy b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/accuracy
new file mode 100644
index 00000000..97f8af9a
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/accuracy
@@ -0,0 +1 @@
+1710668766145 0.9601554907677357 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/f1 b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/f1
new file mode 100644
index 00000000..a5a42744
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/f1
@@ -0,0 +1 @@
+1710668766146 0.96014269162906 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/macro_f1_score b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/macro_f1_score
new file mode 100644
index 00000000..ad1bd09f
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668766150 0.9601404329575289 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/precision b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/precision
new file mode 100644
index 00000000..9d49c9b4
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/precision
@@ -0,0 +1 @@
+1710668766147 0.9606987229921927 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/recall b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/recall
new file mode 100644
index 00000000..a1c50919
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/recall
@@ -0,0 +1 @@
+1710668766148 0.9601069858107801 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/support b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/support
new file mode 100644
index 00000000..0bd5d36b
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/metrics/support
@@ -0,0 +1 @@
+1710668766149 1029.0 0
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/epochs b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/lr b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/model_name b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.runName b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.name b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.type b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.user b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/a38b2efc242747d9a75368a697e7bd6a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/classification_report.json b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/classification_report.json
new file mode 100644
index 00000000..94864508
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9700598802395209,
+    "recall": 0.9473684210526315,
+    "f1-score": 0.9585798816568046,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9488636363636364,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9597701149425287,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.9594617583015786,
+    "recall": 0.9591493268053854,
+    "f1-score": 0.9591749982996667,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9594308599868907,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.959176733333611,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/model_params.json b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/model_params.json
new file mode 100644
index 00000000..09ef4340
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.4,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/meta.yaml b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/meta.yaml
new file mode 100644
index 00000000..c7d4a002
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/artifacts
+end_time: 1710668751777
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: ab5e3c8fa7d246d091317ae3847d11b2
+run_name: ItalyPowerDemand
+run_uuid: ab5e3c8fa7d246d091317ae3847d11b2
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668751755
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/accuracy b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/accuracy
new file mode 100644
index 00000000..f0bd325c
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/accuracy
@@ -0,0 +1 @@
+1710668751766 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/f1 b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/f1
new file mode 100644
index 00000000..cb9f8c24
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/f1
@@ -0,0 +1 @@
+1710668751766 0.959176733333611 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/macro_f1_score b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/macro_f1_score
new file mode 100644
index 00000000..0821e78d
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668751771 0.9591749982996667 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/precision b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/precision
new file mode 100644
index 00000000..fbd4a0c4
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/precision
@@ -0,0 +1 @@
+1710668751767 0.9594617583015786 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/recall b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/recall
new file mode 100644
index 00000000..0dce6b4d
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/recall
@@ -0,0 +1 @@
+1710668751768 0.9591493268053854 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/support b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/support
new file mode 100644
index 00000000..dc4108c7
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/metrics/support
@@ -0,0 +1 @@
+1710668751769 1029.0 0
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/epochs b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/lr b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/model_name b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.runName b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.git.commit b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.name b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.type b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.user b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/ab5e3c8fa7d246d091317ae3847d11b2/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/classification_report.json b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/classification_report.json
new file mode 100644
index 00000000..2566facd
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.978,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9654491609081934,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9546313799621928,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9665071770334928,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9663156899810964,
+    "recall": 0.9659492724058207,
+    "f1-score": 0.9659781689708431,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9662816249373096,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.9659797112684019,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/model_params.json b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/model_params.json
new file mode 100644
index 00000000..96786793
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": true,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/meta.yaml b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/meta.yaml
new file mode 100644
index 00000000..3ac6b322
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/artifacts
+end_time: 1710668758695
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: abdd59d7fece41bea39060ea6eaca3e9
+run_name: ItalyPowerDemand
+run_uuid: abdd59d7fece41bea39060ea6eaca3e9
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668758676
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/accuracy b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/accuracy
new file mode 100644
index 00000000..04c8446b
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/accuracy
@@ -0,0 +1 @@
+1710668758684 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/f1 b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/f1
new file mode 100644
index 00000000..8e1a2087
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/f1
@@ -0,0 +1 @@
+1710668758685 0.9659797112684019 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/macro_f1_score b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/macro_f1_score
new file mode 100644
index 00000000..d70b5cf3
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668758689 0.9659781689708431 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/precision b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/precision
new file mode 100644
index 00000000..5291acdc
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/precision
@@ -0,0 +1 @@
+1710668758686 0.9663156899810964 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/recall b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/recall
new file mode 100644
index 00000000..f4bc6057
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/recall
@@ -0,0 +1 @@
+1710668758688 0.9659492724058207 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/support b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/support
new file mode 100644
index 00000000..91d6c9aa
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/metrics/support
@@ -0,0 +1 @@
+1710668758688 1029.0 0
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/epochs b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/lr b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/model_name b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.runName b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.git.commit b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.name b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.type b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.user b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/abdd59d7fece41bea39060ea6eaca3e9/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/classification_report.json b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/model_params.json b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/meta.yaml b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/meta.yaml
new file mode 100644
index 00000000..cd6cffaf
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/artifacts
+end_time: 1710669040775
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: af2f5c3b04b64faea2db842162851f9a
+run_name: ItalyPowerDemand
+run_uuid: af2f5c3b04b64faea2db842162851f9a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669040754
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/accuracy b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/accuracy
new file mode 100644
index 00000000..5c1bdbbb
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/accuracy
@@ -0,0 +1 @@
+1710669040763 0.966958211856171 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/f1 b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/f1
new file mode 100644
index 00000000..4323ca4e
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/f1
@@ -0,0 +1 @@
+1710669040764 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/macro_f1_score b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/macro_f1_score
new file mode 100644
index 00000000..45304cfb
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669040768 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/precision b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/precision
new file mode 100644
index 00000000..b482bd92
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/precision
@@ -0,0 +1 @@
+1710669040765 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/recall b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/recall
new file mode 100644
index 00000000..b2d04e98
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/recall
@@ -0,0 +1 @@
+1710669040766 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/support b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/support
new file mode 100644
index 00000000..e9f4f4d1
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/metrics/support
@@ -0,0 +1 @@
+1710669040767 1029.0 0
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/epochs b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/lr b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/model_name b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.runName b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.name b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.type b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.user b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/af2f5c3b04b64faea2db842162851f9a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/classification_report.json b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/classification_report.json
new file mode 100644
index 00000000..b17dfe79
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9722222222222222,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9636184857423794,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9561904761904761,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9644572526416906,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9642063492063492,
+    "recall": 0.9640169545310304,
+    "f1-score": 0.964037869192035,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9641829793141745,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.964039091884308,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/model_params.json b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/model_params.json
new file mode 100644
index 00000000..47af2ec2
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/meta.yaml b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/meta.yaml
new file mode 100644
index 00000000..642b998b
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/artifacts
+end_time: 1710669127541
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: afe5d677c692461b9cf6e91a2c6dae2a
+run_name: ItalyPowerDemand
+run_uuid: afe5d677c692461b9cf6e91a2c6dae2a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669127516
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/accuracy b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/accuracy
new file mode 100644
index 00000000..dc4b108b
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/accuracy
@@ -0,0 +1 @@
+1710669127525 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/f1 b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/f1
new file mode 100644
index 00000000..706fc633
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/f1
@@ -0,0 +1 @@
+1710669127530 0.964039091884308 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/macro_f1_score b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/macro_f1_score
new file mode 100644
index 00000000..496acbf8
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669127535 0.964037869192035 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/precision b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/precision
new file mode 100644
index 00000000..6506cd20
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/precision
@@ -0,0 +1 @@
+1710669127532 0.9642063492063492 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/recall b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/recall
new file mode 100644
index 00000000..63c15c6e
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/recall
@@ -0,0 +1 @@
+1710669127533 0.9640169545310304 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/support b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/support
new file mode 100644
index 00000000..2245d9f2
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/metrics/support
@@ -0,0 +1 @@
+1710669127534 1029.0 0
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/epochs b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/lr b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/model_name b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.runName b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.name b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.type b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.user b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/afe5d677c692461b9cf6e91a2c6dae2a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/classification_report.json b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/classification_report.json
new file mode 100644
index 00000000..9bfa6637
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9780439121756487,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9664694280078895,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9564393939393939,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9674329501915708,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9672416530575213,
+    "recall": 0.9669239312752165,
+    "f1-score": 0.9669511890997302,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9672101595907046,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669525936510184,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/model_params.json b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/model_params.json
new file mode 100644
index 00000000..f10781c7
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/meta.yaml b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/meta.yaml
new file mode 100644
index 00000000..b902a011
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/artifacts
+end_time: 1710669368737
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b03bf57b249b48278e3779373eb53587
+run_name: ItalyPowerDemand
+run_uuid: b03bf57b249b48278e3779373eb53587
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669368716
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/accuracy b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/accuracy
new file mode 100644
index 00000000..10fd38ce
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/accuracy
@@ -0,0 +1 @@
+1710669368725 0.966958211856171 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/f1 b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/f1
new file mode 100644
index 00000000..f34e4f1a
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/f1
@@ -0,0 +1 @@
+1710669368726 0.9669525936510184 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/macro_f1_score b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/macro_f1_score
new file mode 100644
index 00000000..ce5a39ee
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669368730 0.9669511890997302 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/precision b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/precision
new file mode 100644
index 00000000..234da774
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/precision
@@ -0,0 +1 @@
+1710669368727 0.9672416530575213 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/recall b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/recall
new file mode 100644
index 00000000..70740905
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/recall
@@ -0,0 +1 @@
+1710669368728 0.9669239312752165 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/support b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/support
new file mode 100644
index 00000000..1f758d05
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/metrics/support
@@ -0,0 +1 @@
+1710669368729 1029.0 0
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/epochs b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/lr b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/model_name b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.runName b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.name b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.type b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.user b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b03bf57b249b48278e3779373eb53587/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/classification_report.json b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/model_params.json b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/model_params.json
new file mode 100644
index 00000000..51ac3851
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/meta.yaml b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/meta.yaml
new file mode 100644
index 00000000..26d9ec99
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/artifacts
+end_time: 1710669479311
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b0abdaba41e8487eb415a8cea152db3c
+run_name: ItalyPowerDemand
+run_uuid: b0abdaba41e8487eb415a8cea152db3c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669479291
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/accuracy b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/accuracy
new file mode 100644
index 00000000..9decbbbc
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/accuracy
@@ -0,0 +1 @@
+1710669479300 0.967930029154519 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/f1 b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/f1
new file mode 100644
index 00000000..343729fb
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/f1
@@ -0,0 +1 @@
+1710669479301 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/macro_f1_score b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/macro_f1_score
new file mode 100644
index 00000000..871659fb
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669479305 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/precision b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/precision
new file mode 100644
index 00000000..62673e07
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/precision
@@ -0,0 +1 @@
+1710669479302 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/recall b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/recall
new file mode 100644
index 00000000..2b8b045f
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/recall
@@ -0,0 +1 @@
+1710669479303 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/support b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/support
new file mode 100644
index 00000000..9b90978c
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/metrics/support
@@ -0,0 +1 @@
+1710669479304 1029.0 0
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/epochs b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/lr b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/model_name b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.runName b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.name b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.type b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.user b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b0abdaba41e8487eb415a8cea152db3c/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/classification_report.json b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/classification_report.json
new file mode 100644
index 00000000..b17dfe79
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9722222222222222,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9636184857423794,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9561904761904761,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9644572526416906,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9642063492063492,
+    "recall": 0.9640169545310304,
+    "f1-score": 0.964037869192035,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9641829793141745,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.964039091884308,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/model_params.json b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/model_params.json
new file mode 100644
index 00000000..6025902f
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 2,
+  "bias": true,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": false,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/meta.yaml b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/meta.yaml
new file mode 100644
index 00000000..0c075b4b
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/artifacts
+end_time: 1710668732639
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b1e8dcb075584dadb23dbd908959b124
+run_name: ItalyPowerDemand
+run_uuid: b1e8dcb075584dadb23dbd908959b124
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668732621
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/accuracy b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/accuracy
new file mode 100644
index 00000000..985c734e
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/accuracy
@@ -0,0 +1 @@
+1710668732629 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/f1 b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/f1
new file mode 100644
index 00000000..5085b6af
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/f1
@@ -0,0 +1 @@
+1710668732630 0.964039091884308 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/macro_f1_score b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/macro_f1_score
new file mode 100644
index 00000000..571c3860
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668732633 0.964037869192035 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/precision b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/precision
new file mode 100644
index 00000000..afcd396d
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/precision
@@ -0,0 +1 @@
+1710668732631 0.9642063492063492 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/recall b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/recall
new file mode 100644
index 00000000..1655754b
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/recall
@@ -0,0 +1 @@
+1710668732632 0.9640169545310304 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/support b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/support
new file mode 100644
index 00000000..311e899a
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/metrics/support
@@ -0,0 +1 @@
+1710668732632 1029.0 0
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/epochs b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/lr b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/model_name b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.runName b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.name b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.type b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.user b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b1e8dcb075584dadb23dbd908959b124/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/classification_report.json b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/classification_report.json
new file mode 100644
index 00000000..301421be
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9665354330708661,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9618021547502449,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9577735124760077,
+    "recall": 0.9670542635658915,
+    "f1-score": 0.9623915139826422,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9621544727734369,
+    "recall": 0.9620846366562401,
+    "f1-score": 0.9620968343664436,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9621417002944357,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.962097693490689,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/model_params.json b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/model_params.json
new file mode 100644
index 00000000..9663dbec
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/meta.yaml b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/meta.yaml
new file mode 100644
index 00000000..107651fc
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/artifacts
+end_time: 1710669493119
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b21a4937a3e94799b0a755d9b806c168
+run_name: ItalyPowerDemand
+run_uuid: b21a4937a3e94799b0a755d9b806c168
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669493098
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/accuracy b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/accuracy
new file mode 100644
index 00000000..d36fb617
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/accuracy
@@ -0,0 +1 @@
+1710669493107 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/f1 b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/f1
new file mode 100644
index 00000000..53eaa054
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/f1
@@ -0,0 +1 @@
+1710669493108 0.962097693490689 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/macro_f1_score b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/macro_f1_score
new file mode 100644
index 00000000..84b35732
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669493112 0.9620968343664436 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/precision b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/precision
new file mode 100644
index 00000000..1a5f0b70
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/precision
@@ -0,0 +1 @@
+1710669493109 0.9621544727734369 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/recall b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/recall
new file mode 100644
index 00000000..4dfbb0eb
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/recall
@@ -0,0 +1 @@
+1710669493110 0.9620846366562401 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/support b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/support
new file mode 100644
index 00000000..b2011a8c
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/metrics/support
@@ -0,0 +1 @@
+1710669493111 1029.0 0
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/epochs b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/lr b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/model_name b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.runName b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.name b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.type b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.user b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b21a4937a3e94799b0a755d9b806c168/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/classification_report.json b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/classification_report.json
new file mode 100644
index 00000000..45bd94f7
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723320158102767,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9656526005888126,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9598470363288719,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9663137632338787,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660895260695743,
+    "recall": 0.9659662722698218,
+    "f1-score": 0.9659831819113457,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.96607132639103,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965984145705289,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/model_params.json b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/model_params.json
new file mode 100644
index 00000000..0c1c3595
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/meta.yaml b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/meta.yaml
new file mode 100644
index 00000000..cb7ebe01
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/artifacts
+end_time: 1710668852778
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b3fc933e3e604118b8047a6ea7d23a52
+run_name: ItalyPowerDemand
+run_uuid: b3fc933e3e604118b8047a6ea7d23a52
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668852758
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/accuracy b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/accuracy
new file mode 100644
index 00000000..cb7654af
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/accuracy
@@ -0,0 +1 @@
+1710668852767 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/f1 b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/f1
new file mode 100644
index 00000000..6d1142b5
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/f1
@@ -0,0 +1 @@
+1710668852768 0.965984145705289 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/macro_f1_score b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/macro_f1_score
new file mode 100644
index 00000000..eec4c110
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668852772 0.9659831819113457 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/precision b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/precision
new file mode 100644
index 00000000..dcb5bd93
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/precision
@@ -0,0 +1 @@
+1710668852769 0.9660895260695743 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/recall b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/recall
new file mode 100644
index 00000000..a98a8747
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/recall
@@ -0,0 +1 @@
+1710668852770 0.9659662722698218 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/support b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/support
new file mode 100644
index 00000000..b20f007e
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/metrics/support
@@ -0,0 +1 @@
+1710668852771 1029.0 0
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/epochs b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/lr b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/model_name b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.runName b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.name b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.type b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.user b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b3fc933e3e604118b8047a6ea7d23a52/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/classification_report.json b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/classification_report.json
new file mode 100644
index 00000000..96c30dfa
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9799196787148594,
+    "recall": 0.9512670565302144,
+    "f1-score": 0.9653808110781403,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9529190207156308,
+    "recall": 0.9806201550387597,
+    "f1-score": 0.9665711556829035,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9664193497152451,
+    "recall": 0.965943605784487,
+    "f1-score": 0.9659759833805219,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9663799901554795,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.9659777185767389,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/model_params.json b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/model_params.json
new file mode 100644
index 00000000..32532304
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/meta.yaml b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/meta.yaml
new file mode 100644
index 00000000..008ecdc4
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/artifacts
+end_time: 1710669159381
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: b8df1d267896478dbebfb611fa2b9682
+run_name: ItalyPowerDemand
+run_uuid: b8df1d267896478dbebfb611fa2b9682
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669159362
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/accuracy b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/accuracy
new file mode 100644
index 00000000..2364e8f3
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/accuracy
@@ -0,0 +1 @@
+1710669159370 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/f1 b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/f1
new file mode 100644
index 00000000..cc5522ba
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/f1
@@ -0,0 +1 @@
+1710669159371 0.9659777185767389 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/macro_f1_score b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/macro_f1_score
new file mode 100644
index 00000000..bb0bb994
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669159375 0.9659759833805219 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/precision b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/precision
new file mode 100644
index 00000000..84704186
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/precision
@@ -0,0 +1 @@
+1710669159372 0.9664193497152451 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/recall b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/recall
new file mode 100644
index 00000000..0ad6b34f
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/recall
@@ -0,0 +1 @@
+1710669159373 0.965943605784487 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/support b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/support
new file mode 100644
index 00000000..dd037681
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/metrics/support
@@ -0,0 +1 @@
+1710669159374 1029.0 0
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/epochs b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/lr b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/model_name b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.runName b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.git.commit b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.name b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.type b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.user b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/b8df1d267896478dbebfb611fa2b9682/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/classification_report.json b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/classification_report.json
new file mode 100644
index 00000000..4b1b0d12
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723865877712031,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9666666666666666,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616858237547893,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9672447013487475,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670362057629962,
+    "recall": 0.9669409311392175,
+    "f1-score": 0.966955684007707,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670206069816312,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669565266238617,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/model_params.json b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/meta.yaml b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/meta.yaml
new file mode 100644
index 00000000..f3cba9c9
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/artifacts
+end_time: 1710669049303
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: ba57f87058b64b91bbb4029ddc7791bc
+run_name: ItalyPowerDemand
+run_uuid: ba57f87058b64b91bbb4029ddc7791bc
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669049276
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/accuracy b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/accuracy
new file mode 100644
index 00000000..087b9736
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/accuracy
@@ -0,0 +1 @@
+1710669049292 0.966958211856171 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/f1 b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/f1
new file mode 100644
index 00000000..7f84a99b
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/f1
@@ -0,0 +1 @@
+1710669049293 0.9669565266238617 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/macro_f1_score b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/macro_f1_score
new file mode 100644
index 00000000..5e8b14f6
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669049296 0.966955684007707 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/precision b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/precision
new file mode 100644
index 00000000..8f7acfb6
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/precision
@@ -0,0 +1 @@
+1710669049294 0.9670362057629962 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/recall b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/recall
new file mode 100644
index 00000000..55228822
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/recall
@@ -0,0 +1 @@
+1710669049295 0.9669409311392175 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/support b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/support
new file mode 100644
index 00000000..ccbdb4e0
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/metrics/support
@@ -0,0 +1 @@
+1710669049296 1029.0 0
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/epochs b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/lr b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/model_name b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.runName b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.git.commit b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.name b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.type b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.user b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/ba57f87058b64b91bbb4029ddc7791bc/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/classification_report.json b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/classification_report.json
new file mode 100644
index 00000000..c820fd07
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.981404958677686,
+    "recall": 0.9259259259259259,
+    "f1-score": 0.9528585757271815,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9302752293577982,
+    "recall": 0.9825581395348837,
+    "f1-score": 0.9557021677662583,
+    "support": 516
+  },
+  "accuracy": 0.9543245869776482,
+  "macro avg": {
+    "precision": 0.9558400940177421,
+    "recall": 0.9542420327304049,
+    "f1-score": 0.9542803717467199,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9557655608846227,
+    "recall": 0.9543245869776482,
+    "f1-score": 0.9542845169246194,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/model_params.json b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/model_params.json
new file mode 100644
index 00000000..3339f349
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.0,
+  "bidirectional": false,
+  "fc_dropout": 0.30000000000000004
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/meta.yaml b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/meta.yaml
new file mode 100644
index 00000000..efcaeb76
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/artifacts
+end_time: 1710668787669
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: bae0cd688dd84c7c851af18d538d8a95
+run_name: ItalyPowerDemand
+run_uuid: bae0cd688dd84c7c851af18d538d8a95
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668787650
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/accuracy b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/accuracy
new file mode 100644
index 00000000..80182e96
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/accuracy
@@ -0,0 +1 @@
+1710668787658 0.9543245869776482 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/f1 b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/f1
new file mode 100644
index 00000000..dfdbbbad
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/f1
@@ -0,0 +1 @@
+1710668787659 0.9542845169246194 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/macro_f1_score b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/macro_f1_score
new file mode 100644
index 00000000..a7dfc7b9
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668787663 0.9542803717467199 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/precision b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/precision
new file mode 100644
index 00000000..03db0222
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/precision
@@ -0,0 +1 @@
+1710668787660 0.9558400940177421 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/recall b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/recall
new file mode 100644
index 00000000..045b2b1c
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/recall
@@ -0,0 +1 @@
+1710668787661 0.9542420327304049 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/support b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/support
new file mode 100644
index 00000000..3806387a
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/metrics/support
@@ -0,0 +1 @@
+1710668787662 1029.0 0
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/epochs b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/lr b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/model_name b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.runName b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.git.commit b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.name b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.type b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.user b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/bae0cd688dd84c7c851af18d538d8a95/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/classification_report.json b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/classification_report.json
new file mode 100644
index 00000000..31dae4b8
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9646365422396856,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9608610567514677,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9576923076923077,
+    "recall": 0.9651162790697675,
+    "f1-score": 0.9613899613899615,
+    "support": 516
+  },
+  "accuracy": 0.9611273080660836,
+  "macro avg": {
+    "precision": 0.9611644249659967,
+    "recall": 0.9611156444081781,
+    "f1-score": 0.9611255090707146,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9611543021751114,
+    "recall": 0.9611273080660836,
+    "f1-score": 0.9611262800687299,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/model_params.json b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/model_params.json
new file mode 100644
index 00000000..acffb97b
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.6,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/meta.yaml b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/meta.yaml
new file mode 100644
index 00000000..db7ddb3d
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/artifacts
+end_time: 1710669562690
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: bc84de1afb2c4f6588f1df806dd89493
+run_name: ItalyPowerDemand
+run_uuid: bc84de1afb2c4f6588f1df806dd89493
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669562663
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/accuracy b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/accuracy
new file mode 100644
index 00000000..e354c1df
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/accuracy
@@ -0,0 +1 @@
+1710669562678 0.9611273080660836 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/f1 b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/f1
new file mode 100644
index 00000000..544fbd6d
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/f1
@@ -0,0 +1 @@
+1710669562680 0.9611262800687299 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/macro_f1_score b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/macro_f1_score
new file mode 100644
index 00000000..7726b18b
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669562684 0.9611255090707146 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/precision b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/precision
new file mode 100644
index 00000000..017503d6
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/precision
@@ -0,0 +1 @@
+1710669562681 0.9611644249659967 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/recall b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/recall
new file mode 100644
index 00000000..d559e2cf
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/recall
@@ -0,0 +1 @@
+1710669562682 0.9611156444081781 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/support b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/support
new file mode 100644
index 00000000..53d977b1
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/metrics/support
@@ -0,0 +1 @@
+1710669562683 1029.0 0
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/epochs b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/lr b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/model_name b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.runName b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.git.commit b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.name b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.type b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.user b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/bc84de1afb2c4f6588f1df806dd89493/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/classification_report.json b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/classification_report.json
new file mode 100644
index 00000000..3209d515
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9721669980119284,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9625984251968505,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9543726235741445,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.963531669865643,
+    "support": 516
+  },
+  "accuracy": 0.9630709426627794,
+  "macro avg": {
+    "precision": 0.9632698107930364,
+    "recall": 0.9630422956616347,
+    "f1-score": 0.9630650475312468,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9632438714716987,
+    "recall": 0.9630709426627794,
+    "f1-score": 0.9630664079462158,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/model_params.json b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/model_params.json
new file mode 100644
index 00000000..60dc7bb2
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 32,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/meta.yaml b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/meta.yaml
new file mode 100644
index 00000000..bf7fbf0f
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/artifacts
+end_time: 1710668746193
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: bdbb559dae6c40469bd732a82c0d5e01
+run_name: ItalyPowerDemand
+run_uuid: bdbb559dae6c40469bd732a82c0d5e01
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668746174
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/accuracy b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/accuracy
new file mode 100644
index 00000000..b0bd8ad8
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/accuracy
@@ -0,0 +1 @@
+1710668746182 0.9630709426627794 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/f1 b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/f1
new file mode 100644
index 00000000..62ee4a0d
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/f1
@@ -0,0 +1 @@
+1710668746183 0.9630664079462158 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/macro_f1_score b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/macro_f1_score
new file mode 100644
index 00000000..b7dc30bf
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668746187 0.9630650475312468 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/precision b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/precision
new file mode 100644
index 00000000..c95633f3
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/precision
@@ -0,0 +1 @@
+1710668746184 0.9632698107930364 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/recall b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/recall
new file mode 100644
index 00000000..dc54fd1f
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/recall
@@ -0,0 +1 @@
+1710668746185 0.9630422956616347 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/support b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/support
new file mode 100644
index 00000000..f063b923
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/metrics/support
@@ -0,0 +1 @@
+1710668746186 1029.0 0
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/epochs b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/lr b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/model_name b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.runName b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.git.commit b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.name b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.type b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.user b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/bdbb559dae6c40469bd732a82c0d5e01/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/classification_report.json b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/classification_report.json
new file mode 100644
index 00000000..ce8a7768
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9645669291338582,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9598432908912831,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9558541266794626,
+    "recall": 0.9651162790697675,
+    "f1-score": 0.9604628736740598,
+    "support": 516
+  },
+  "accuracy": 0.9601554907677357,
+  "macro avg": {
+    "precision": 0.9602105279066604,
+    "recall": 0.9601409855387824,
+    "f1-score": 0.9601530822826714,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.960197827028447,
+    "recall": 0.9601554907677357,
+    "f1-score": 0.9601539854645705,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/model_params.json b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/model_params.json
new file mode 100644
index 00000000..9d79a3a2
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 16,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/meta.yaml b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/meta.yaml
new file mode 100644
index 00000000..ac161e56
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/artifacts
+end_time: 1710669204489
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: bdc5be5c3a234313a7ce8c462d4f11e1
+run_name: ItalyPowerDemand
+run_uuid: bdc5be5c3a234313a7ce8c462d4f11e1
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669204469
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/accuracy b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/accuracy
new file mode 100644
index 00000000..5335fce0
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/accuracy
@@ -0,0 +1 @@
+1710669204478 0.9601554907677357 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/f1 b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/f1
new file mode 100644
index 00000000..536da7bc
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/f1
@@ -0,0 +1 @@
+1710669204479 0.9601539854645705 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/macro_f1_score b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/macro_f1_score
new file mode 100644
index 00000000..a19f2fdd
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669204482 0.9601530822826714 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/precision b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/precision
new file mode 100644
index 00000000..8be71566
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/precision
@@ -0,0 +1 @@
+1710669204480 0.9602105279066604 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/recall b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/recall
new file mode 100644
index 00000000..94e547bb
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/recall
@@ -0,0 +1 @@
+1710669204481 0.9601409855387824 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/support b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/support
new file mode 100644
index 00000000..9fba46f8
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/metrics/support
@@ -0,0 +1 @@
+1710669204481 1029.0 0
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/epochs b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/lr b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/model_name b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.runName b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.git.commit b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.name b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.type b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.user b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/bdc5be5c3a234313a7ce8c462d4f11e1/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/classification_report.json b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/classification_report.json
new file mode 100644
index 00000000..25b0e3f7
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704724409448819,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9657198824681685,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616122840690979,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9662487945998072,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660423625069899,
+    "recall": 0.9659719388911555,
+    "f1-score": 0.9659843385339879,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.966029446826413,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965985109542926,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/model_params.json b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/meta.yaml b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/meta.yaml
new file mode 100644
index 00000000..7af99d22
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/artifacts
+end_time: 1710668991693
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: c2c588466a8f4bc39f9d328caacf1e97
+run_name: ItalyPowerDemand
+run_uuid: c2c588466a8f4bc39f9d328caacf1e97
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668991667
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/accuracy b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/accuracy
new file mode 100644
index 00000000..89bd30bf
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/accuracy
@@ -0,0 +1 @@
+1710668991682 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/f1 b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/f1
new file mode 100644
index 00000000..8ef52f07
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/f1
@@ -0,0 +1 @@
+1710668991683 0.965985109542926 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/macro_f1_score b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/macro_f1_score
new file mode 100644
index 00000000..87b67a30
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668991687 0.9659843385339879 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/precision b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/precision
new file mode 100644
index 00000000..b4acf65e
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/precision
@@ -0,0 +1 @@
+1710668991684 0.9660423625069899 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/recall b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/recall
new file mode 100644
index 00000000..d376a776
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/recall
@@ -0,0 +1 @@
+1710668991685 0.9659719388911555 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/support b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/support
new file mode 100644
index 00000000..e2340012
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/metrics/support
@@ -0,0 +1 @@
+1710668991686 1029.0 0
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/epochs b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/lr b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/model_name b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.runName b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.git.commit b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.name b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.type b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.user b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/c2c588466a8f4bc39f9d328caacf1e97/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/classification_report.json b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/classification_report.json
new file mode 100644
index 00000000..057da0f9
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9780876494023905,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.967487684729064,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9582542694497154,
+    "recall": 0.9786821705426356,
+    "f1-score": 0.9683604985618408,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9681709594260529,
+    "recall": 0.9678985901446122,
+    "f1-score": 0.9679240916454523,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9681420477934689,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679253639688237,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/model_params.json b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/model_params.json
new file mode 100644
index 00000000..9d25c9a6
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/meta.yaml b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/meta.yaml
new file mode 100644
index 00000000..5628b186
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/artifacts
+end_time: 1710668915337
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: c3fbf2cdbd3048d3bb59004fd34ff0c0
+run_name: ItalyPowerDemand
+run_uuid: c3fbf2cdbd3048d3bb59004fd34ff0c0
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668915312
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/accuracy b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/accuracy
new file mode 100644
index 00000000..0ed0c0b4
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/accuracy
@@ -0,0 +1 @@
+1710668915326 0.967930029154519 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/f1 b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/f1
new file mode 100644
index 00000000..dd74922a
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/f1
@@ -0,0 +1 @@
+1710668915327 0.9679253639688237 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/macro_f1_score b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/macro_f1_score
new file mode 100644
index 00000000..a12e62c9
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668915331 0.9679240916454523 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/precision b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/precision
new file mode 100644
index 00000000..afc1093c
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/precision
@@ -0,0 +1 @@
+1710668915328 0.9681709594260529 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/recall b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/recall
new file mode 100644
index 00000000..13789735
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/recall
@@ -0,0 +1 @@
+1710668915329 0.9678985901446122 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/support b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/support
new file mode 100644
index 00000000..b9e78d66
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/metrics/support
@@ -0,0 +1 @@
+1710668915330 1029.0 0
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/epochs b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/lr b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/model_name b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.runName b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.git.commit b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.name b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.type b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.user b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/c3fbf2cdbd3048d3bb59004fd34ff0c0/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/classification_report.json b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/model_params.json b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/model_params.json
new file mode 100644
index 00000000..f3839131
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.0
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/meta.yaml b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/meta.yaml
new file mode 100644
index 00000000..1eb88a69
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/artifacts
+end_time: 1710669400460
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: c58c0d0a2c094f6e89f60655e6e2c843
+run_name: ItalyPowerDemand
+run_uuid: c58c0d0a2c094f6e89f60655e6e2c843
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669400439
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/accuracy b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/accuracy
new file mode 100644
index 00000000..9759511d
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/accuracy
@@ -0,0 +1 @@
+1710669400448 0.967930029154519 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/f1 b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/f1
new file mode 100644
index 00000000..d0ff50d4
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/f1
@@ -0,0 +1 @@
+1710669400449 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/macro_f1_score b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/macro_f1_score
new file mode 100644
index 00000000..efba9f63
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669400453 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/precision b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/precision
new file mode 100644
index 00000000..a6baea1f
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/precision
@@ -0,0 +1 @@
+1710669400450 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/recall b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/recall
new file mode 100644
index 00000000..1a0cfe56
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/recall
@@ -0,0 +1 @@
+1710669400451 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/support b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/support
new file mode 100644
index 00000000..8a2f45db
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/metrics/support
@@ -0,0 +1 @@
+1710669400452 1029.0 0
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/epochs b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/lr b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/model_name b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.runName b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.git.commit b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.name b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.type b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.user b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/c58c0d0a2c094f6e89f60655e6e2c843/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/classification_report.json b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/classification_report.json
new file mode 100644
index 00000000..c8f6fe35
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9720558882235529,
+    "recall": 0.949317738791423,
+    "f1-score": 0.960552268244576,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9507575757575758,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9616858237547893,
+    "support": 516
+  },
+  "accuracy": 0.9611273080660836,
+  "macro avg": {
+    "precision": 0.9614067319905644,
+    "recall": 0.9610929779228432,
+    "f1-score": 0.9611190459996826,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9613756848878443,
+    "recall": 0.9611273080660836,
+    "f1-score": 0.9611206984129628,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/model_params.json b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/model_params.json
new file mode 100644
index 00000000..47a681bb
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 2,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": false,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/meta.yaml b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/meta.yaml
new file mode 100644
index 00000000..4c625028
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/artifacts
+end_time: 1710669006173
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: c7de2a4e04c24dab8cd382143cfe56ae
+run_name: ItalyPowerDemand
+run_uuid: c7de2a4e04c24dab8cd382143cfe56ae
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669006154
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/accuracy b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/accuracy
new file mode 100644
index 00000000..22ac2dcb
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/accuracy
@@ -0,0 +1 @@
+1710669006162 0.9611273080660836 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/f1 b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/f1
new file mode 100644
index 00000000..fc67e5ef
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/f1
@@ -0,0 +1 @@
+1710669006163 0.9611206984129628 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/macro_f1_score b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/macro_f1_score
new file mode 100644
index 00000000..4b619772
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669006167 0.9611190459996826 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/precision b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/precision
new file mode 100644
index 00000000..51d9674c
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/precision
@@ -0,0 +1 @@
+1710669006164 0.9614067319905644 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/recall b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/recall
new file mode 100644
index 00000000..1071171c
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/recall
@@ -0,0 +1 @@
+1710669006165 0.9610929779228432 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/support b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/support
new file mode 100644
index 00000000..7f61aaf5
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/metrics/support
@@ -0,0 +1 @@
+1710669006166 1029.0 0
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/epochs b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/lr b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/model_name b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.runName b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.git.commit b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.name b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.type b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.user b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/c7de2a4e04c24dab8cd382143cfe56ae/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/classification_report.json b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/classification_report.json
new file mode 100644
index 00000000..02e8fc47
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9718875502008032,
+    "recall": 0.9434697855750487,
+    "f1-score": 0.9574678536102869,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9453860640301318,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9589302769818527,
+    "support": 516
+  },
+  "accuracy": 0.9582118561710399,
+  "macro avg": {
+    "precision": 0.9586368071154675,
+    "recall": 0.9581690013146561,
+    "f1-score": 0.9581990652960698,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9585981752114286,
+    "recall": 0.9582118561710399,
+    "f1-score": 0.9582011971085648,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/model_params.json b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/model_params.json
new file mode 100644
index 00000000..78186321
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.2
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/meta.yaml b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/meta.yaml
new file mode 100644
index 00000000..9b2f11c9
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/artifacts
+end_time: 1710669071626
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: cdbbc7469202464db7657d41d0b6f971
+run_name: ItalyPowerDemand
+run_uuid: cdbbc7469202464db7657d41d0b6f971
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669071606
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/accuracy b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/accuracy
new file mode 100644
index 00000000..7b32efa1
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/accuracy
@@ -0,0 +1 @@
+1710669071614 0.9582118561710399 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/f1 b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/f1
new file mode 100644
index 00000000..3e26b724
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/f1
@@ -0,0 +1 @@
+1710669071615 0.9582011971085648 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/macro_f1_score b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/macro_f1_score
new file mode 100644
index 00000000..aec9ebaa
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669071620 0.9581990652960698 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/precision b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/precision
new file mode 100644
index 00000000..67e9b5d2
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/precision
@@ -0,0 +1 @@
+1710669071616 0.9586368071154675 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/recall b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/recall
new file mode 100644
index 00000000..4269d4c2
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/recall
@@ -0,0 +1 @@
+1710669071617 0.9581690013146561 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/support b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/support
new file mode 100644
index 00000000..e79c29ba
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/metrics/support
@@ -0,0 +1 @@
+1710669071618 1029.0 0
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/epochs b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/lr b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/model_name b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.runName b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.git.commit b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.name b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.type b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.user b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/cdbbc7469202464db7657d41d0b6f971/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/classification_report.json b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/model_params.json b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/model_params.json
new file mode 100644
index 00000000..78ca0208
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/meta.yaml b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/meta.yaml
new file mode 100644
index 00000000..e2688c95
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/artifacts
+end_time: 1710669303606
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: d579e8c70b0841228ffc286995c8c015
+run_name: ItalyPowerDemand
+run_uuid: d579e8c70b0841228ffc286995c8c015
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669303585
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/accuracy b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/accuracy
new file mode 100644
index 00000000..06860466
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/accuracy
@@ -0,0 +1 @@
+1710669303594 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/f1 b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/f1
new file mode 100644
index 00000000..78d24429
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/f1
@@ -0,0 +1 @@
+1710669303595 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/macro_f1_score b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/macro_f1_score
new file mode 100644
index 00000000..e64706e0
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669303599 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/precision b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/precision
new file mode 100644
index 00000000..908ee8d1
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/precision
@@ -0,0 +1 @@
+1710669303596 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/recall b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/recall
new file mode 100644
index 00000000..591f9e98
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/recall
@@ -0,0 +1 @@
+1710669303597 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/support b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/support
new file mode 100644
index 00000000..dfb2adac
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/metrics/support
@@ -0,0 +1 @@
+1710669303598 1029.0 0
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/epochs b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/lr b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/model_name b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.runName b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.git.commit b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.name b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.type b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.user b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/d579e8c70b0841228ffc286995c8c015/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/classification_report.json b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/classification_report.json
new file mode 100644
index 00000000..45bd94f7
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723320158102767,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.9656526005888126,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9598470363288719,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9663137632338787,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660895260695743,
+    "recall": 0.9659662722698218,
+    "f1-score": 0.9659831819113457,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.96607132639103,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965984145705289,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/model_params.json b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/model_params.json
new file mode 100644
index 00000000..5ab8368b
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/meta.yaml b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/meta.yaml
new file mode 100644
index 00000000..38f9aba4
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/artifacts
+end_time: 1710669091300
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: d69bea9c33dc42d7914c5e889e9f9b1e
+run_name: ItalyPowerDemand
+run_uuid: d69bea9c33dc42d7914c5e889e9f9b1e
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669091280
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/accuracy b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/accuracy
new file mode 100644
index 00000000..43b79b15
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/accuracy
@@ -0,0 +1 @@
+1710669091288 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/f1 b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/f1
new file mode 100644
index 00000000..d20f3597
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/f1
@@ -0,0 +1 @@
+1710669091289 0.965984145705289 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/macro_f1_score b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/macro_f1_score
new file mode 100644
index 00000000..8b5d25b7
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669091293 0.9659831819113457 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/precision b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/precision
new file mode 100644
index 00000000..70e2c164
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/precision
@@ -0,0 +1 @@
+1710669091290 0.9660895260695743 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/recall b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/recall
new file mode 100644
index 00000000..8c1e9c8d
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/recall
@@ -0,0 +1 @@
+1710669091291 0.9659662722698218 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/support b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/support
new file mode 100644
index 00000000..3a8f1197
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/metrics/support
@@ -0,0 +1 @@
+1710669091292 1029.0 0
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/epochs b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/lr b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/model_name b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.runName b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.git.commit b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.name b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.type b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.user b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/d69bea9c33dc42d7914c5e889e9f9b1e/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/classification_report.json b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/classification_report.json
new file mode 100644
index 00000000..25b0e3f7
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9704724409448819,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9657198824681685,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616122840690979,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9662487945998072,
+    "support": 516
+  },
+  "accuracy": 0.9659863945578231,
+  "macro avg": {
+    "precision": 0.9660423625069899,
+    "recall": 0.9659719388911555,
+    "f1-score": 0.9659843385339879,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.966029446826413,
+    "recall": 0.9659863945578231,
+    "f1-score": 0.965985109542926,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/model_params.json b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/model_params.json
new file mode 100644
index 00000000..5ab8368b
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.0,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/meta.yaml b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/meta.yaml
new file mode 100644
index 00000000..db72bfbc
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/artifacts
+end_time: 1710669113401
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: d9c626df95d8469caae5dc1f69ccba40
+run_name: ItalyPowerDemand
+run_uuid: d9c626df95d8469caae5dc1f69ccba40
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669113382
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/accuracy b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/accuracy
new file mode 100644
index 00000000..d0530f65
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/accuracy
@@ -0,0 +1 @@
+1710669113390 0.9659863945578231 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/f1 b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/f1
new file mode 100644
index 00000000..8adfc5f9
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/f1
@@ -0,0 +1 @@
+1710669113391 0.965985109542926 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/macro_f1_score b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/macro_f1_score
new file mode 100644
index 00000000..feb47fc4
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669113395 0.9659843385339879 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/precision b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/precision
new file mode 100644
index 00000000..bacf349d
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/precision
@@ -0,0 +1 @@
+1710669113392 0.9660423625069899 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/recall b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/recall
new file mode 100644
index 00000000..860dbbd0
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/recall
@@ -0,0 +1 @@
+1710669113393 0.9659719388911555 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/support b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/support
new file mode 100644
index 00000000..6e090abb
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/metrics/support
@@ -0,0 +1 @@
+1710669113394 1029.0 0
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/epochs b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/lr b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/model_name b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.runName b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.git.commit b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.name b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.type b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.user b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/d9c626df95d8469caae5dc1f69ccba40/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/classification_report.json b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/model_params.json b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/meta.yaml b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/meta.yaml
new file mode 100644
index 00000000..75df3df3
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/artifacts
+end_time: 1710668983374
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: dabe1e3cfd7d48a7a76a2e1729d7d0a2
+run_name: ItalyPowerDemand
+run_uuid: dabe1e3cfd7d48a7a76a2e1729d7d0a2
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668983355
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/accuracy b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/accuracy
new file mode 100644
index 00000000..e7aad20a
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/accuracy
@@ -0,0 +1 @@
+1710668983363 0.966958211856171 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/f1 b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/f1
new file mode 100644
index 00000000..72494289
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/f1
@@ -0,0 +1 @@
+1710668983364 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/macro_f1_score b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/macro_f1_score
new file mode 100644
index 00000000..b0f8e89d
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668983368 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/precision b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/precision
new file mode 100644
index 00000000..ecff9039
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/precision
@@ -0,0 +1 @@
+1710668983365 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/recall b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/recall
new file mode 100644
index 00000000..f8670892
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/recall
@@ -0,0 +1 @@
+1710668983366 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/support b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/support
new file mode 100644
index 00000000..939c727b
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/metrics/support
@@ -0,0 +1 @@
+1710668983367 1029.0 0
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/epochs b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/lr b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/model_name b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.runName b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.git.commit b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.name b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.type b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.user b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/dabe1e3cfd7d48a7a76a2e1729d7d0a2/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/classification_report.json b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/classification_report.json
new file mode 100644
index 00000000..e35e3cab
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9703557312252964,
+    "recall": 0.9571150097465887,
+    "f1-score": 0.9636898920510303,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9579349904397706,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.9643888354186718,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9641453608325334,
+    "recall": 0.9640226211523641,
+    "f1-score": 0.964039363734851,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.964127254796403,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.964040382602734,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/model_params.json b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/model_params.json
new file mode 100644
index 00000000..9663dbec
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 2,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/meta.yaml b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/meta.yaml
new file mode 100644
index 00000000..b69601c0
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/artifacts
+end_time: 1710669507048
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: dd7b7db931594a4595fc75a2be216f72
+run_name: ItalyPowerDemand
+run_uuid: dd7b7db931594a4595fc75a2be216f72
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669507027
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/accuracy b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/accuracy
new file mode 100644
index 00000000..8e015484
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/accuracy
@@ -0,0 +1 @@
+1710669507036 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/f1 b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/f1
new file mode 100644
index 00000000..0fc5ed2c
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/f1
@@ -0,0 +1 @@
+1710669507037 0.964040382602734 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/macro_f1_score b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/macro_f1_score
new file mode 100644
index 00000000..5d9efb2f
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669507041 0.964039363734851 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/precision b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/precision
new file mode 100644
index 00000000..beab9b94
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/precision
@@ -0,0 +1 @@
+1710669507038 0.9641453608325334 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/recall b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/recall
new file mode 100644
index 00000000..92287cb2
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/recall
@@ -0,0 +1 @@
+1710669507039 0.9640226211523641 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/support b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/support
new file mode 100644
index 00000000..de943c50
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/metrics/support
@@ -0,0 +1 @@
+1710669507040 1029.0 0
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/epochs b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/lr b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/model_name b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.runName b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.git.commit b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.name b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.type b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.user b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/dd7b7db931594a4595fc75a2be216f72/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/classification_report.json b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/classification_report.json
new file mode 100644
index 00000000..1a0966c5
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9761904761904762,
+    "recall": 0.9590643274853801,
+    "f1-score": 0.967551622418879,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.96,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9682997118155618,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9680952380952381,
+    "recall": 0.9679042567659458,
+    "f1-score": 0.9679256671172205,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9680716368179925,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679267576265451,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/model_params.json b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/model_params.json
new file mode 100644
index 00000000..78ca0208
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/meta.yaml b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/meta.yaml
new file mode 100644
index 00000000..c490692e
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/artifacts
+end_time: 1710669322056
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: ddf83e15481f4385966265e1ceea0d4a
+run_name: ItalyPowerDemand
+run_uuid: ddf83e15481f4385966265e1ceea0d4a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669322036
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/accuracy b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/accuracy
new file mode 100644
index 00000000..b7a36867
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/accuracy
@@ -0,0 +1 @@
+1710669322045 0.967930029154519 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/f1 b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/f1
new file mode 100644
index 00000000..a54e225f
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/f1
@@ -0,0 +1 @@
+1710669322046 0.9679267576265451 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/macro_f1_score b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/macro_f1_score
new file mode 100644
index 00000000..11ff6b3c
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669322050 0.9679256671172205 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/precision b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/precision
new file mode 100644
index 00000000..a352a2b1
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/precision
@@ -0,0 +1 @@
+1710669322047 0.9680952380952381 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/recall b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/recall
new file mode 100644
index 00000000..60a3d10f
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/recall
@@ -0,0 +1 @@
+1710669322048 0.9679042567659458 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/support b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/support
new file mode 100644
index 00000000..a5423356
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/metrics/support
@@ -0,0 +1 @@
+1710669322049 1029.0 0
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/epochs b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/lr b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/model_name b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.runName b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.git.commit b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.name b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.type b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.user b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/ddf83e15481f4385966265e1ceea0d4a/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/classification_report.json b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/classification_report.json
new file mode 100644
index 00000000..5dc33657
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9683794466403162,
+    "recall": 0.9551656920077972,
+    "f1-score": 0.9617271835132484,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9560229445506692,
+    "recall": 0.9689922480620154,
+    "f1-score": 0.9624639076034648,
+    "support": 516
+  },
+  "accuracy": 0.9620991253644315,
+  "macro avg": {
+    "precision": 0.9622011955954927,
+    "recall": 0.9620789700349064,
+    "f1-score": 0.9620955455583566,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.962183183201776,
+    "recall": 0.9620991253644315,
+    "f1-score": 0.9620966195001791,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/model_params.json b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/model_params.json
new file mode 100644
index 00000000..47a681bb
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 2,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": false,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/meta.yaml b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/meta.yaml
new file mode 100644
index 00000000..4929a96d
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/artifacts
+end_time: 1710668998991
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: de0d44e48c5a4f389ad825bc9ca3d209
+run_name: ItalyPowerDemand
+run_uuid: de0d44e48c5a4f389ad825bc9ca3d209
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668998967
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/accuracy b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/accuracy
new file mode 100644
index 00000000..43479a5d
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/accuracy
@@ -0,0 +1 @@
+1710668998977 0.9620991253644315 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/f1 b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/f1
new file mode 100644
index 00000000..c9cbf037
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/f1
@@ -0,0 +1 @@
+1710668998980 0.9620966195001791 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/macro_f1_score b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/macro_f1_score
new file mode 100644
index 00000000..611c7d1a
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668998984 0.9620955455583566 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/precision b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/precision
new file mode 100644
index 00000000..2615666c
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/precision
@@ -0,0 +1 @@
+1710668998981 0.9622011955954927 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/recall b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/recall
new file mode 100644
index 00000000..95a5526b
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/recall
@@ -0,0 +1 @@
+1710668998982 0.9620789700349064 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/support b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/support
new file mode 100644
index 00000000..a2458d1b
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/metrics/support
@@ -0,0 +1 @@
+1710668998983 1029.0 0
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/epochs b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/lr b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/model_name b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.runName b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.git.commit b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.name b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.type b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.user b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/de0d44e48c5a4f389ad825bc9ca3d209/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/classification_report.json b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/classification_report.json
new file mode 100644
index 00000000..0d9a61e1
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9663366336633663,
+    "recall": 0.9512670565302144,
+    "f1-score": 0.9587426326129665,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9522900763358778,
+    "recall": 0.9670542635658915,
+    "f1-score": 0.9596153846153846,
+    "support": 516
+  },
+  "accuracy": 0.9591836734693877,
+  "macro avg": {
+    "precision": 0.959313354999622,
+    "recall": 0.9591606600480529,
+    "f1-score": 0.9591790086141756,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9592928789685324,
+    "recall": 0.9591836734693877,
+    "f1-score": 0.9591802808474154,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/model_params.json b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/model_params.json
new file mode 100644
index 00000000..47a681bb
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 2,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": false,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/meta.yaml b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/meta.yaml
new file mode 100644
index 00000000..77d25653
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/artifacts
+end_time: 1710669022936
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: e09c15e35f4447be890482f62fbd254f
+run_name: ItalyPowerDemand
+run_uuid: e09c15e35f4447be890482f62fbd254f
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669022913
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/accuracy b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/accuracy
new file mode 100644
index 00000000..6ec25664
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/accuracy
@@ -0,0 +1 @@
+1710669022921 0.9591836734693877 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/f1 b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/f1
new file mode 100644
index 00000000..8db42081
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/f1
@@ -0,0 +1 @@
+1710669022922 0.9591802808474154 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/macro_f1_score b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/macro_f1_score
new file mode 100644
index 00000000..c2152c36
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669022930 0.9591790086141756 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/precision b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/precision
new file mode 100644
index 00000000..460e811c
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/precision
@@ -0,0 +1 @@
+1710669022927 0.959313354999622 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/recall b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/recall
new file mode 100644
index 00000000..209097b4
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/recall
@@ -0,0 +1 @@
+1710669022928 0.9591606600480529 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/support b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/support
new file mode 100644
index 00000000..45b3c76d
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/metrics/support
@@ -0,0 +1 @@
+1710669022929 1029.0 0
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/epochs b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/lr b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/model_name b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.runName b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.git.commit b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.name b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.type b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.user b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/e09c15e35f4447be890482f62fbd254f/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/classification_report.json b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/classification_report.json
new file mode 100644
index 00000000..857077d2
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9758551307847082,
+    "recall": 0.9454191033138402,
+    "f1-score": 0.9603960396039604,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9473684210526315,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9618320610687022,
+    "support": 516
+  },
+  "accuracy": 0.9611273080660836,
+  "macro avg": {
+    "precision": 0.9616117759186699,
+    "recall": 0.9610816446801759,
+    "f1-score": 0.9611140503363313,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9615702501027339,
+    "recall": 0.9611273080660836,
+    "f1-score": 0.9611161436620818,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/model_params.json b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/model_params.json
new file mode 100644
index 00000000..78186321
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 1,
+  "bias": false,
+  "cell_dropout": 0.1,
+  "rnn_dropout": 0.2,
+  "bidirectional": true,
+  "fc_dropout": 0.2
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/meta.yaml b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/meta.yaml
new file mode 100644
index 00000000..e44de86e
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/artifacts
+end_time: 1710669077613
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: e3f95bdf5a2f4a1aa73217261ae22d32
+run_name: ItalyPowerDemand
+run_uuid: e3f95bdf5a2f4a1aa73217261ae22d32
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669077594
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/accuracy b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/accuracy
new file mode 100644
index 00000000..3a073257
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/accuracy
@@ -0,0 +1 @@
+1710669077602 0.9611273080660836 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/f1 b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/f1
new file mode 100644
index 00000000..dba56377
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/f1
@@ -0,0 +1 @@
+1710669077603 0.9611161436620818 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/macro_f1_score b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/macro_f1_score
new file mode 100644
index 00000000..847b76bf
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669077607 0.9611140503363313 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/precision b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/precision
new file mode 100644
index 00000000..d6829e14
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/precision
@@ -0,0 +1 @@
+1710669077604 0.9616117759186699 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/recall b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/recall
new file mode 100644
index 00000000..9be23674
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/recall
@@ -0,0 +1 @@
+1710669077605 0.9610816446801759 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/support b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/support
new file mode 100644
index 00000000..3f52f0c8
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/metrics/support
@@ -0,0 +1 @@
+1710669077606 1029.0 0
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/epochs b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/lr b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/model_name b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.runName b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.git.commit b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.name b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.type b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.user b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/e3f95bdf5a2f4a1aa73217261ae22d32/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/classification_report.json b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/classification_report.json
new file mode 100644
index 00000000..dde2fe2c
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9724409448818898,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9676787463271302,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.963531669865643,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9681774349083895,
+    "support": 516
+  },
+  "accuracy": 0.967930029154519,
+  "macro avg": {
+    "precision": 0.9679863073737665,
+    "recall": 0.9679155900086132,
+    "f1-score": 0.9679280906177599,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9679733200924017,
+    "recall": 0.967930029154519,
+    "f1-score": 0.9679288175690444,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/model_params.json b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/model_params.json
new file mode 100644
index 00000000..88301d14
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.5,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/meta.yaml b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/meta.yaml
new file mode 100644
index 00000000..71b14eea
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/artifacts
+end_time: 1710669349742
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: e4528b1c0c374ee797e2fb3f66dc2a3d
+run_name: ItalyPowerDemand
+run_uuid: e4528b1c0c374ee797e2fb3f66dc2a3d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669349722
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/accuracy b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/accuracy
new file mode 100644
index 00000000..bba0e512
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/accuracy
@@ -0,0 +1 @@
+1710669349730 0.967930029154519 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/f1 b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/f1
new file mode 100644
index 00000000..84a33990
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/f1
@@ -0,0 +1 @@
+1710669349731 0.9679288175690444 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/macro_f1_score b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/macro_f1_score
new file mode 100644
index 00000000..047ea5b7
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669349736 0.9679280906177599 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/precision b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/precision
new file mode 100644
index 00000000..c3be7d0b
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/precision
@@ -0,0 +1 @@
+1710669349733 0.9679863073737665 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/recall b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/recall
new file mode 100644
index 00000000..63222a3a
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/recall
@@ -0,0 +1 @@
+1710669349734 0.9679155900086132 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/support b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/support
new file mode 100644
index 00000000..63767fd2
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/metrics/support
@@ -0,0 +1 @@
+1710669349734 1029.0 0
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/epochs b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/lr b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/model_name b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.runName b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.git.commit b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.name b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.type b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.user b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/e4528b1c0c374ee797e2fb3f66dc2a3d/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/classification_report.json b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/classification_report.json
new file mode 100644
index 00000000..9c5e414e
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9741035856573705,
+    "recall": 0.9532163742690059,
+    "f1-score": 0.9635467980295567,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9544592030360531,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9645254074784276,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9642813943467119,
+    "recall": 0.9640112879096967,
+    "f1-score": 0.9640361027539921,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9642527582204417,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.9640375292983782,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/model_params.json b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/model_params.json
new file mode 100644
index 00000000..0fcebb04
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 64,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.1
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/meta.yaml b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/meta.yaml
new file mode 100644
index 00000000..671db6d8
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/artifacts
+end_time: 1710668876123
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: e82236e80a1a4913ba668f5c0f12793c
+run_name: ItalyPowerDemand
+run_uuid: e82236e80a1a4913ba668f5c0f12793c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668876104
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/accuracy b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/accuracy
new file mode 100644
index 00000000..a1de904b
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/accuracy
@@ -0,0 +1 @@
+1710668876112 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/f1 b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/f1
new file mode 100644
index 00000000..55655173
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/f1
@@ -0,0 +1 @@
+1710668876113 0.9640375292983782 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/macro_f1_score b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/macro_f1_score
new file mode 100644
index 00000000..895fdef8
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668876117 0.9640361027539921 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/precision b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/precision
new file mode 100644
index 00000000..687e140b
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/precision
@@ -0,0 +1 @@
+1710668876114 0.9642813943467119 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/recall b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/recall
new file mode 100644
index 00000000..c6e7dcc3
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/recall
@@ -0,0 +1 @@
+1710668876115 0.9640112879096967 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/support b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/support
new file mode 100644
index 00000000..815d81aa
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/metrics/support
@@ -0,0 +1 @@
+1710668876116 1029.0 0
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/epochs b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/lr b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/model_name b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.runName b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.git.commit b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.name b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.type b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.user b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/e82236e80a1a4913ba668f5c0f12793c/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/classification_report.json b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/classification_report.json
new file mode 100644
index 00000000..4b1b0d12
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723865877712031,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9666666666666666,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616858237547893,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9672447013487475,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670362057629962,
+    "recall": 0.9669409311392175,
+    "f1-score": 0.966955684007707,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670206069816312,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669565266238617,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/model_params.json b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/model_params.json
new file mode 100644
index 00000000..6cb6d86a
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/meta.yaml b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/meta.yaml
new file mode 100644
index 00000000..41a78a5a
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/artifacts
+end_time: 1710669283607
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: e8e37297ca2043349fc9ac16e9b7cfd6
+run_name: ItalyPowerDemand
+run_uuid: e8e37297ca2043349fc9ac16e9b7cfd6
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669283587
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/accuracy b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/accuracy
new file mode 100644
index 00000000..b8b2418a
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/accuracy
@@ -0,0 +1 @@
+1710669283596 0.966958211856171 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/f1 b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/f1
new file mode 100644
index 00000000..3070cc8a
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/f1
@@ -0,0 +1 @@
+1710669283597 0.9669565266238617 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/macro_f1_score b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/macro_f1_score
new file mode 100644
index 00000000..91845a8c
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669283601 0.966955684007707 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/precision b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/precision
new file mode 100644
index 00000000..1c46e19f
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/precision
@@ -0,0 +1 @@
+1710669283598 0.9670362057629962 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/recall b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/recall
new file mode 100644
index 00000000..10a288a1
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/recall
@@ -0,0 +1 @@
+1710669283599 0.9669409311392175 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/support b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/support
new file mode 100644
index 00000000..1c2fd7af
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/metrics/support
@@ -0,0 +1 @@
+1710669283600 1029.0 0
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/epochs b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/lr b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/model_name b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.runName b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.git.commit b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.name b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.type b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.user b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/e8e37297ca2043349fc9ac16e9b7cfd6/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/classification_report.json b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/model_params.json b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/model_params.json
new file mode 100644
index 00000000..124dd96e
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.6,
+  "bidirectional": false,
+  "fc_dropout": 0.4
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/meta.yaml b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/meta.yaml
new file mode 100644
index 00000000..d1b372fe
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/artifacts
+end_time: 1710668965786
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: eecde9f8c92f4f31ac475770027ef7ab
+run_name: ItalyPowerDemand
+run_uuid: eecde9f8c92f4f31ac475770027ef7ab
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668965766
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/accuracy b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/accuracy
new file mode 100644
index 00000000..b8c74f44
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/accuracy
@@ -0,0 +1 @@
+1710668965775 0.966958211856171 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/f1 b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/f1
new file mode 100644
index 00000000..e5c56f02
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/f1
@@ -0,0 +1 @@
+1710668965776 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/macro_f1_score b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/macro_f1_score
new file mode 100644
index 00000000..b2d74466
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668965780 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/precision b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/precision
new file mode 100644
index 00000000..ec9c1024
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/precision
@@ -0,0 +1 @@
+1710668965777 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/recall b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/recall
new file mode 100644
index 00000000..563986f7
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/recall
@@ -0,0 +1 @@
+1710668965778 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/support b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/support
new file mode 100644
index 00000000..c9da4de6
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/metrics/support
@@ -0,0 +1 @@
+1710668965779 1029.0 0
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/epochs b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/lr b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/model_name b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.runName b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.git.commit b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.name b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.type b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.user b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/eecde9f8c92f4f31ac475770027ef7ab/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/classification_report.json b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/classification_report.json
new file mode 100644
index 00000000..4b1b0d12
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9723865877712031,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9666666666666666,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9616858237547893,
+    "recall": 0.9728682170542635,
+    "f1-score": 0.9672447013487475,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9670362057629962,
+    "recall": 0.9669409311392175,
+    "f1-score": 0.966955684007707,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9670206069816312,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669565266238617,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/model_params.json b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/model_params.json
new file mode 100644
index 00000000..9d25c9a6
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.2,
+  "rnn_dropout": 0.5,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/meta.yaml b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/meta.yaml
new file mode 100644
index 00000000..cd862df8
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/artifacts
+end_time: 1710668905744
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f0a0904941ce4569900ab9e3040ac330
+run_name: ItalyPowerDemand
+run_uuid: f0a0904941ce4569900ab9e3040ac330
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668905716
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/accuracy b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/accuracy
new file mode 100644
index 00000000..39591047
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/accuracy
@@ -0,0 +1 @@
+1710668905731 0.966958211856171 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/f1 b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/f1
new file mode 100644
index 00000000..20723ae9
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/f1
@@ -0,0 +1 @@
+1710668905733 0.9669565266238617 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/macro_f1_score b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/macro_f1_score
new file mode 100644
index 00000000..e6fab3ff
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668905737 0.966955684007707 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/precision b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/precision
new file mode 100644
index 00000000..a85bd2a0
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/precision
@@ -0,0 +1 @@
+1710668905734 0.9670362057629962 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/recall b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/recall
new file mode 100644
index 00000000..b68416ac
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/recall
@@ -0,0 +1 @@
+1710668905735 0.9669409311392175 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/support b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/support
new file mode 100644
index 00000000..7d178ed3
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/metrics/support
@@ -0,0 +1 @@
+1710668905736 1029.0 0
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/epochs b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/lr b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/model_name b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.runName b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.name b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.type b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.user b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f0a0904941ce4569900ab9e3040ac330/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/classification_report.json b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/classification_report.json
new file mode 100644
index 00000000..207b6ab1
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9685658153241651,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9647749510763209,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9615384615384616,
+    "recall": 0.9689922480620154,
+    "f1-score": 0.9652509652509652,
+    "support": 516
+  },
+  "accuracy": 0.9650145772594753,
+  "macro avg": {
+    "precision": 0.9650521384313133,
+    "recall": 0.9650029466430935,
+    "f1-score": 0.9650129581636431,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9650418944753575,
+    "recall": 0.9650145772594753,
+    "f1-score": 0.9650136520618569,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/model_params.json b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/model_params.json
new file mode 100644
index 00000000..47a681bb
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 256,
+  "rnn_layers": 2,
+  "bias": true,
+  "cell_dropout": 0.30000000000000004,
+  "rnn_dropout": 0.30000000000000004,
+  "bidirectional": false,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/meta.yaml b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/meta.yaml
new file mode 100644
index 00000000..36b9ff29
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/artifacts
+end_time: 1710669014441
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f35c54164dfa41b7a0aa7f240a1338e0
+run_name: ItalyPowerDemand
+run_uuid: f35c54164dfa41b7a0aa7f240a1338e0
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669014420
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/accuracy b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/accuracy
new file mode 100644
index 00000000..bcd5b626
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/accuracy
@@ -0,0 +1 @@
+1710669014428 0.9650145772594753 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/f1 b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/f1
new file mode 100644
index 00000000..c47c06f8
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/f1
@@ -0,0 +1 @@
+1710669014429 0.9650136520618569 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/macro_f1_score b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/macro_f1_score
new file mode 100644
index 00000000..b1d9e380
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669014435 0.9650129581636431 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/precision b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/precision
new file mode 100644
index 00000000..491c333a
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/precision
@@ -0,0 +1 @@
+1710669014431 0.9650521384313133 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/recall b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/recall
new file mode 100644
index 00000000..ffc369f7
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/recall
@@ -0,0 +1 @@
+1710669014432 0.9650029466430935 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/support b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/support
new file mode 100644
index 00000000..3db87c20
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/metrics/support
@@ -0,0 +1 @@
+1710669014434 1029.0 0
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/epochs b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/lr b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/model_name b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.runName b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.name b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.type b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.user b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f35c54164dfa41b7a0aa7f240a1338e0/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/classification_report.json b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/classification_report.json
new file mode 100644
index 00000000..c36bf12e
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.96484375,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9639024390243903,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9632495164410058,
+    "recall": 0.9651162790697675,
+    "f1-score": 0.9641819941916747,
+    "support": 516
+  },
+  "accuracy": 0.9640427599611273,
+  "macro avg": {
+    "precision": 0.9640466332205029,
+    "recall": 0.9640396210163652,
+    "f1-score": 0.9640422166080325,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9640443092648775,
+    "recall": 0.9640427599611273,
+    "f1-score": 0.9640426241228536,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/model_params.json b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/model_params.json
new file mode 100644
index 00000000..75778f85
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 3,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.4,
+  "bidirectional": true,
+  "fc_dropout": 0.1
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/meta.yaml b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/meta.yaml
new file mode 100644
index 00000000..6e92e911
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/artifacts
+end_time: 1710668868950
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f3d492169a6244b4ac2fb874a95a1f92
+run_name: ItalyPowerDemand
+run_uuid: f3d492169a6244b4ac2fb874a95a1f92
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710668868932
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/accuracy b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/accuracy
new file mode 100644
index 00000000..e13b29bb
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/accuracy
@@ -0,0 +1 @@
+1710668868940 0.9640427599611273 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/f1 b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/f1
new file mode 100644
index 00000000..5946d822
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/f1
@@ -0,0 +1 @@
+1710668868941 0.9640426241228536 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/macro_f1_score b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/macro_f1_score
new file mode 100644
index 00000000..d35384a6
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710668868944 0.9640422166080325 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/precision b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/precision
new file mode 100644
index 00000000..826f4243
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/precision
@@ -0,0 +1 @@
+1710668868941 0.9640466332205029 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/recall b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/recall
new file mode 100644
index 00000000..044e3c92
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/recall
@@ -0,0 +1 @@
+1710668868942 0.9640396210163652 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/support b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/support
new file mode 100644
index 00000000..7fd4f548
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/metrics/support
@@ -0,0 +1 @@
+1710668868943 1029.0 0
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/epochs b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/lr b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/model_name b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.runName b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.name b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.type b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.user b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f3d492169a6244b4ac2fb874a95a1f92/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/classification_report.json b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/classification_report.json
new file mode 100644
index 00000000..a2ff7483
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9743589743589743,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9686274509803922,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9636015325670498,
+    "recall": 0.9748062015503876,
+    "f1-score": 0.9691714836223507,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9689802534630121,
+    "recall": 0.9688845822566752,
+    "f1-score": 0.9688994673013714,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.968964572060983,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9689002603518698,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/model_params.json b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/model_params.json
new file mode 100644
index 00000000..7c0f066c
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/meta.yaml b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/meta.yaml
new file mode 100644
index 00000000..a2e8adb1
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/artifacts
+end_time: 1710669433335
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f425ba1ff40c4e96ace5015dc35db4cb
+run_name: ItalyPowerDemand
+run_uuid: f425ba1ff40c4e96ace5015dc35db4cb
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669433307
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/accuracy b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/accuracy
new file mode 100644
index 00000000..4a15d08c
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/accuracy
@@ -0,0 +1 @@
+1710669433323 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/f1 b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/f1
new file mode 100644
index 00000000..414cf6c8
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/f1
@@ -0,0 +1 @@
+1710669433324 0.9689002603518698 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/macro_f1_score b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/macro_f1_score
new file mode 100644
index 00000000..42f4fcb1
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669433328 0.9688994673013714 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/precision b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/precision
new file mode 100644
index 00000000..c915acf7
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/precision
@@ -0,0 +1 @@
+1710669433325 0.9689802534630121 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/recall b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/recall
new file mode 100644
index 00000000..1495fd8e
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/recall
@@ -0,0 +1 @@
+1710669433326 0.9688845822566752 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/support b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/support
new file mode 100644
index 00000000..3d037959
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/metrics/support
@@ -0,0 +1 @@
+1710669433327 1029.0 0
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/epochs b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/lr b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/model_name b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.runName b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.name b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.type b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.user b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f425ba1ff40c4e96ace5015dc35db4cb/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/classification_report.json b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/classification_report.json
new file mode 100644
index 00000000..e1741851
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9705304518664047,
+    "recall": 0.9629629629629629,
+    "f1-score": 0.9667318982387475,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9634615384615385,
+    "recall": 0.9709302325581395,
+    "f1-score": 0.967181467181467,
+    "support": 516
+  },
+  "accuracy": 0.966958211856171,
+  "macro avg": {
+    "precision": 0.9669959951639716,
+    "recall": 0.9669465977605511,
+    "f1-score": 0.9669566827101073,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.9669856906254806,
+    "recall": 0.966958211856171,
+    "f1-score": 0.9669573380584202,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/model_params.json b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/model_params.json
new file mode 100644
index 00000000..7c0f066c
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.0,
+  "bidirectional": true,
+  "fc_dropout": 0.5
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/meta.yaml b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/meta.yaml
new file mode 100644
index 00000000..13f5f53e
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/artifacts
+end_time: 1710669411535
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f698bb572ff84a62bb17dde4059d2680
+run_name: ItalyPowerDemand
+run_uuid: f698bb572ff84a62bb17dde4059d2680
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669411512
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/accuracy b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/accuracy
new file mode 100644
index 00000000..f7e93c30
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/accuracy
@@ -0,0 +1 @@
+1710669411524 0.966958211856171 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/f1 b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/f1
new file mode 100644
index 00000000..a75dbb71
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/f1
@@ -0,0 +1 @@
+1710669411525 0.9669573380584202 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/macro_f1_score b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/macro_f1_score
new file mode 100644
index 00000000..a6f15e51
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669411529 0.9669566827101073 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/precision b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/precision
new file mode 100644
index 00000000..fdcf566b
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/precision
@@ -0,0 +1 @@
+1710669411526 0.9669959951639716 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/recall b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/recall
new file mode 100644
index 00000000..bff3ff96
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/recall
@@ -0,0 +1 @@
+1710669411527 0.9669465977605511 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/support b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/support
new file mode 100644
index 00000000..98e46736
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/metrics/support
@@ -0,0 +1 @@
+1710669411528 1029.0 0
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/epochs b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/lr b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/model_name b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.runName b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.name b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.type b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.user b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f698bb572ff84a62bb17dde4059d2680/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/classification_report.json b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/model_params.json b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/model_params.json
new file mode 100644
index 00000000..6cb6d86a
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": true,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/meta.yaml b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/meta.yaml
new file mode 100644
index 00000000..7494893b
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/artifacts
+end_time: 1710669252669
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f942305afd5d40d19683ee3917c4c416
+run_name: ItalyPowerDemand
+run_uuid: f942305afd5d40d19683ee3917c4c416
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669252648
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/accuracy b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/accuracy
new file mode 100644
index 00000000..69c4c205
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/accuracy
@@ -0,0 +1 @@
+1710669252657 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/f1 b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/f1
new file mode 100644
index 00000000..5a21e71e
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/f1
@@ -0,0 +1 @@
+1710669252658 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/macro_f1_score b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/macro_f1_score
new file mode 100644
index 00000000..2f31e2e2
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669252662 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/precision b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/precision
new file mode 100644
index 00000000..f6bc33ef
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/precision
@@ -0,0 +1 @@
+1710669252659 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/recall b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/recall
new file mode 100644
index 00000000..f9c389df
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/recall
@@ -0,0 +1 @@
+1710669252660 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/support b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/support
new file mode 100644
index 00000000..e8caf2a6
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/metrics/support
@@ -0,0 +1 @@
+1710669252661 1029.0 0
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/epochs b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/lr b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/model_name b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.runName b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.name b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.type b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.user b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f942305afd5d40d19683ee3917c4c416/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/classification_report.json b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/classification_report.json
new file mode 100644
index 00000000..b2c77d9d
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/classification_report.json
@@ -0,0 +1,27 @@
+{
+  "0": {
+    "precision": 0.9762376237623762,
+    "recall": 0.9610136452241715,
+    "f1-score": 0.9685658153241651,
+    "support": 513
+  },
+  "1": {
+    "precision": 0.9618320610687023,
+    "recall": 0.9767441860465116,
+    "f1-score": 0.9692307692307692,
+    "support": 516
+  },
+  "accuracy": 0.9689018464528668,
+  "macro avg": {
+    "precision": 0.9690348424155393,
+    "recall": 0.9688789156353416,
+    "f1-score": 0.9688982922774672,
+    "support": 1029
+  },
+  "weighted avg": {
+    "precision": 0.969013843053012,
+    "recall": 0.9689018464528668,
+    "f1-score": 0.9688992615980306,
+    "support": 1029
+  }
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/model_params.json b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/model_params.json
new file mode 100644
index 00000000..78ca0208
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts/model_params.json
@@ -0,0 +1,9 @@
+{
+  "hidden_size": 128,
+  "rnn_layers": 4,
+  "bias": false,
+  "cell_dropout": 0.4,
+  "rnn_dropout": 0.1,
+  "bidirectional": true,
+  "fc_dropout": 0.6
+}
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/meta.yaml b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/meta.yaml
new file mode 100644
index 00000000..cfff35fe
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/artifacts
+end_time: 1710669293700
+entry_point_name: ''
+experiment_id: '813185422761216114'
+lifecycle_stage: active
+run_id: f9a225d9ee5d4c2c9ab1aa88108ee9be
+run_name: ItalyPowerDemand
+run_uuid: f9a225d9ee5d4c2c9ab1aa88108ee9be
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1710669293679
+status: 3
+tags: []
+user_id: pops
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/accuracy b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/accuracy
new file mode 100644
index 00000000..2a58b9cd
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/accuracy
@@ -0,0 +1 @@
+1710669293689 0.9689018464528668 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/f1 b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/f1
new file mode 100644
index 00000000..abeede01
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/f1
@@ -0,0 +1 @@
+1710669293690 0.9688992615980306 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/macro_f1_score b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/macro_f1_score
new file mode 100644
index 00000000..dcb6492d
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/macro_f1_score
@@ -0,0 +1 @@
+1710669293694 0.9688982922774672 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/precision b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/precision
new file mode 100644
index 00000000..58bfd54c
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/precision
@@ -0,0 +1 @@
+1710669293691 0.9690348424155393 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/recall b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/recall
new file mode 100644
index 00000000..62ccf832
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/recall
@@ -0,0 +1 @@
+1710669293692 0.9688789156353416 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/support b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/support
new file mode 100644
index 00000000..9a3e25f9
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/metrics/support
@@ -0,0 +1 @@
+1710669293693 1029.0 0
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/epochs b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/epochs
new file mode 100644
index 00000000..eb1f4948
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/epochs
@@ -0,0 +1 @@
+500
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/lr b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/lr
new file mode 100644
index 00000000..eb5a1db8
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/lr
@@ -0,0 +1 @@
+0.001
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/model_name b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/model_name
new file mode 100644
index 00000000..e9a1a5bf
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/params/model_name
@@ -0,0 +1 @@
+GRU_FCN
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.runName b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.runName
new file mode 100644
index 00000000..b2ed34e9
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.runName
@@ -0,0 +1 @@
+ItalyPowerDemand
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.git.commit b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.git.commit
new file mode 100644
index 00000000..5e772a54
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+68c5c330f9ab2dfbc3a4a923c9d137f0974747c4
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.name b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.name
new file mode 100644
index 00000000..11a5d8e1
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.name
@@ -0,0 +1 @@
+main.py
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.type b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.type
new file mode 100644
index 00000000..0c2c1fe9
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.user b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.user
new file mode 100644
index 00000000..08b774eb
--- /dev/null
+++ b/mlruns/813185422761216114/f9a225d9ee5d4c2c9ab1aa88108ee9be/tags/mlflow.user
@@ -0,0 +1 @@
+pops
\ No newline at end of file
diff --git a/multirun/2024-03-17/10-45-20/0/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/0/.hydra/config.yaml
new file mode 100644
index 00000000..6eeffc69
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/0/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 2
+    bias: true
+    cell_dropout: 0.5
+    rnn_dropout: 0.30000000000000004
+    bidirectional: false
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/0/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/0/.hydra/hydra.yaml
new file mode 100644
index 00000000..d698ed03
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/0/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=2
+    - models.model.bias=True
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.5,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=2,models=GRU_FCN
+    id: '0'
+    num: 0
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/0
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/0/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/0/.hydra/overrides.yaml
new file mode 100644
index 00000000..36a5b6dc
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/0/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=2
+- models.model.bias=True
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/0/main.log b/multirun/2024-03-17/10-45-20/0/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/1/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/1/.hydra/config.yaml
new file mode 100644
index 00000000..0dce44e9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/1/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.1
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/1/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/1/.hydra/hydra.yaml
new file mode 100644
index 00000000..271cafcb
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/1/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=256,models.model.rnn_dropout=0.2,models.model.rnn_layers=1,models=GRU_FCN
+    id: '1'
+    num: 1
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/1
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/1/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/1/.hydra/overrides.yaml
new file mode 100644
index 00000000..ae224560
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/1/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/1/main.log b/multirun/2024-03-17/10-45-20/1/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/10/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/10/.hydra/config.yaml
new file mode 100644
index 00000000..01c9ba7f
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/10/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 3
+    bias: false
+    cell_dropout: 0.0
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.0
diff --git a/multirun/2024-03-17/10-45-20/10/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/10/.hydra/hydra.yaml
new file mode 100644
index 00000000..7d62f906
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/10/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=3
+    - models.model.bias=False
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.0
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=False,models.model.cell_dropout=0.0,models.model.fc_dropout=0.0,models.model.hidden_size=32,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '10'
+    num: 10
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/10
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/10/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/10/.hydra/overrides.yaml
new file mode 100644
index 00000000..5d64e118
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/10/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=3
+- models.model.bias=False
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.0
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/10/main.log b/multirun/2024-03-17/10-45-20/10/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/11/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/11/.hydra/config.yaml
new file mode 100644
index 00000000..cf02e31f
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/11/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/11/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/11/.hydra/hydra.yaml
new file mode 100644
index 00000000..5af7a261
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/11/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '11'
+    num: 11
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/11
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/11/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/11/.hydra/overrides.yaml
new file mode 100644
index 00000000..7df042c8
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/11/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/11/main.log b/multirun/2024-03-17/10-45-20/11/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/12/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/12/.hydra/config.yaml
new file mode 100644
index 00000000..449fe4b9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/12/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/12/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/12/.hydra/hydra.yaml
new file mode 100644
index 00000000..e7410ea5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/12/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '12'
+    num: 12
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/12
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/12/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/12/.hydra/overrides.yaml
new file mode 100644
index 00000000..467f4d43
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/12/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/12/main.log b/multirun/2024-03-17/10-45-20/12/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/13/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/13/.hydra/config.yaml
new file mode 100644
index 00000000..f069376f
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/13/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/13/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/13/.hydra/hydra.yaml
new file mode 100644
index 00000000..e12264d4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/13/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '13'
+    num: 13
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/13
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/13/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/13/.hydra/overrides.yaml
new file mode 100644
index 00000000..4b47ffae
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/13/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/13/main.log b/multirun/2024-03-17/10-45-20/13/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/14/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/14/.hydra/config.yaml
new file mode 100644
index 00000000..dc34be42
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/14/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/14/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/14/.hydra/hydra.yaml
new file mode 100644
index 00000000..59a054d5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/14/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=64,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '14'
+    num: 14
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/14
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/14/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/14/.hydra/overrides.yaml
new file mode 100644
index 00000000..5599b9e0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/14/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/14/main.log b/multirun/2024-03-17/10-45-20/14/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/15/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/15/.hydra/config.yaml
new file mode 100644
index 00000000..449fe4b9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/15/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/15/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/15/.hydra/hydra.yaml
new file mode 100644
index 00000000..6e461dc7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/15/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '15'
+    num: 15
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/15
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/15/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/15/.hydra/overrides.yaml
new file mode 100644
index 00000000..467f4d43
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/15/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/15/main.log b/multirun/2024-03-17/10-45-20/15/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/16/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/16/.hydra/config.yaml
new file mode 100644
index 00000000..d8a30f57
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/16/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/16/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/16/.hydra/hydra.yaml
new file mode 100644
index 00000000..64944232
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/16/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.4,models.model.hidden_size=128,models.model.rnn_dropout=0.4,models.model.rnn_layers=3,models=GRU_FCN
+    id: '16'
+    num: 16
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/16
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/16/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/16/.hydra/overrides.yaml
new file mode 100644
index 00000000..8437a54a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/16/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/16/main.log b/multirun/2024-03-17/10-45-20/16/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/17/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/17/.hydra/config.yaml
new file mode 100644
index 00000000..d719bcb5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/17/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.1
diff --git a/multirun/2024-03-17/10-45-20/17/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/17/.hydra/hydra.yaml
new file mode 100644
index 00000000..70df9886
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/17/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.1
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.1,models.model.hidden_size=128,models.model.rnn_dropout=0.4,models.model.rnn_layers=3,models=GRU_FCN
+    id: '17'
+    num: 17
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/17
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/17/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/17/.hydra/overrides.yaml
new file mode 100644
index 00000000..609007c2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/17/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.1
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/17/main.log b/multirun/2024-03-17/10-45-20/17/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/18/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/18/.hydra/config.yaml
new file mode 100644
index 00000000..d719bcb5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/18/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.1
diff --git a/multirun/2024-03-17/10-45-20/18/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/18/.hydra/hydra.yaml
new file mode 100644
index 00000000..9394afc1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/18/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.1
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.1,models.model.hidden_size=128,models.model.rnn_dropout=0.4,models.model.rnn_layers=3,models=GRU_FCN
+    id: '18'
+    num: 18
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/18
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/18/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/18/.hydra/overrides.yaml
new file mode 100644
index 00000000..609007c2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/18/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.1
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/18/main.log b/multirun/2024-03-17/10-45-20/18/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/19/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/19/.hydra/config.yaml
new file mode 100644
index 00000000..c98b365a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/19/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.1
diff --git a/multirun/2024-03-17/10-45-20/19/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/19/.hydra/hydra.yaml
new file mode 100644
index 00000000..42081654
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/19/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.1
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.1,models.model.hidden_size=64,models.model.rnn_dropout=0.4,models.model.rnn_layers=3,models=GRU_FCN
+    id: '19'
+    num: 19
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/19
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/19/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/19/.hydra/overrides.yaml
new file mode 100644
index 00000000..3ccd7558
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/19/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.1
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/19/main.log b/multirun/2024-03-17/10-45-20/19/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/2/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/2/.hydra/config.yaml
new file mode 100644
index 00000000..1dece236
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/2/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/2/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/2/.hydra/hydra.yaml
new file mode 100644
index 00000000..fa96c494
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/2/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.6,models.model.hidden_size=32,models.model.rnn_dropout=0.6,models.model.rnn_layers=2,models=GRU_FCN
+    id: '2'
+    num: 2
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/2
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/2/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/2/.hydra/overrides.yaml
new file mode 100644
index 00000000..b87d4027
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/2/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/2/main.log b/multirun/2024-03-17/10-45-20/2/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/20/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/20/.hydra/config.yaml
new file mode 100644
index 00000000..2aa9bc6a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/20/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/20/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/20/.hydra/hydra.yaml
new file mode 100644
index 00000000..cf8e8871
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/20/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '20'
+    num: 20
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/20
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/20/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/20/.hydra/overrides.yaml
new file mode 100644
index 00000000..0726352b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/20/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/20/main.log b/multirun/2024-03-17/10-45-20/20/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/21/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/21/.hydra/config.yaml
new file mode 100644
index 00000000..2aa9bc6a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/21/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/21/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/21/.hydra/hydra.yaml
new file mode 100644
index 00000000..11cf5cb4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/21/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '21'
+    num: 21
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/21
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/21/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/21/.hydra/overrides.yaml
new file mode 100644
index 00000000..0726352b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/21/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/21/main.log b/multirun/2024-03-17/10-45-20/21/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/22/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/22/.hydra/config.yaml
new file mode 100644
index 00000000..2aa9bc6a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/22/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/22/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/22/.hydra/hydra.yaml
new file mode 100644
index 00000000..7ff62421
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/22/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '22'
+    num: 22
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/22
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/22/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/22/.hydra/overrides.yaml
new file mode 100644
index 00000000..0726352b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/22/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/22/main.log b/multirun/2024-03-17/10-45-20/22/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/23/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/23/.hydra/config.yaml
new file mode 100644
index 00000000..2aa9bc6a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/23/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/23/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/23/.hydra/hydra.yaml
new file mode 100644
index 00000000..e0e7c322
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/23/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '23'
+    num: 23
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/23
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/23/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/23/.hydra/overrides.yaml
new file mode 100644
index 00000000..0726352b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/23/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/23/main.log b/multirun/2024-03-17/10-45-20/23/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/24/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/24/.hydra/config.yaml
new file mode 100644
index 00000000..2cf1ae06
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/24/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/24/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/24/.hydra/hydra.yaml
new file mode 100644
index 00000000..8e58ce34
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/24/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '24'
+    num: 24
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/24
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/24/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/24/.hydra/overrides.yaml
new file mode 100644
index 00000000..541f8bfe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/24/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/24/main.log b/multirun/2024-03-17/10-45-20/24/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/25/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/25/.hydra/config.yaml
new file mode 100644
index 00000000..2cf1ae06
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/25/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/25/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/25/.hydra/hydra.yaml
new file mode 100644
index 00000000..321a1da2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/25/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '25'
+    num: 25
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/25
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/25/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/25/.hydra/overrides.yaml
new file mode 100644
index 00000000..541f8bfe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/25/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/25/main.log b/multirun/2024-03-17/10-45-20/25/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/26/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/26/.hydra/config.yaml
new file mode 100644
index 00000000..2cf1ae06
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/26/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/26/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/26/.hydra/hydra.yaml
new file mode 100644
index 00000000..ed428d7a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/26/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '26'
+    num: 26
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/26
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/26/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/26/.hydra/overrides.yaml
new file mode 100644
index 00000000..541f8bfe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/26/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/26/main.log b/multirun/2024-03-17/10-45-20/26/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/27/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/27/.hydra/config.yaml
new file mode 100644
index 00000000..2cf1ae06
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/27/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/27/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/27/.hydra/hydra.yaml
new file mode 100644
index 00000000..77554fa2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/27/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '27'
+    num: 27
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/27
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/27/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/27/.hydra/overrides.yaml
new file mode 100644
index 00000000..541f8bfe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/27/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/27/main.log b/multirun/2024-03-17/10-45-20/27/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/28/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/28/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/28/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/28/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/28/.hydra/hydra.yaml
new file mode 100644
index 00000000..b1cfd459
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/28/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '28'
+    num: 28
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/28
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/28/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/28/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/28/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/28/main.log b/multirun/2024-03-17/10-45-20/28/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/29/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/29/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/29/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/29/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/29/.hydra/hydra.yaml
new file mode 100644
index 00000000..33940644
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/29/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '29'
+    num: 29
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/29
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/29/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/29/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/29/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/29/main.log b/multirun/2024-03-17/10-45-20/29/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/3/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/3/.hydra/config.yaml
new file mode 100644
index 00000000..f1d5e46c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/3/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.4
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/3/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/3/.hydra/hydra.yaml
new file mode 100644
index 00000000..1725c6db
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/3/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.4,models.model.hidden_size=128,models.model.rnn_dropout=0.4,models.model.rnn_layers=1,models=GRU_FCN
+    id: '3'
+    num: 3
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/3
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/3/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/3/.hydra/overrides.yaml
new file mode 100644
index 00000000..3271aca1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/3/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/3/main.log b/multirun/2024-03-17/10-45-20/3/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/30/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/30/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/30/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/30/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/30/.hydra/hydra.yaml
new file mode 100644
index 00000000..c8da47e1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/30/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '30'
+    num: 30
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/30
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/30/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/30/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/30/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/30/main.log b/multirun/2024-03-17/10-45-20/30/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/31/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/31/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/31/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/31/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/31/.hydra/hydra.yaml
new file mode 100644
index 00000000..fdfc7c4a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/31/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '31'
+    num: 31
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/31
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/31/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/31/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/31/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/31/main.log b/multirun/2024-03-17/10-45-20/31/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/32/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/32/.hydra/config.yaml
new file mode 100644
index 00000000..68bb9191
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/32/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 2
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.30000000000000004
+    bidirectional: false
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/32/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/32/.hydra/hydra.yaml
new file mode 100644
index 00000000..cc595528
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/32/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=2
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=2,models=GRU_FCN
+    id: '32'
+    num: 32
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/32
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/32/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/32/.hydra/overrides.yaml
new file mode 100644
index 00000000..fa9a7eb3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/32/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=2
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/32/main.log b/multirun/2024-03-17/10-45-20/32/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/33/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/33/.hydra/config.yaml
new file mode 100644
index 00000000..68bb9191
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/33/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 2
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.30000000000000004
+    bidirectional: false
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/33/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/33/.hydra/hydra.yaml
new file mode 100644
index 00000000..bd2e0dbd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/33/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=2
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=2,models=GRU_FCN
+    id: '33'
+    num: 33
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/33
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/33/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/33/.hydra/overrides.yaml
new file mode 100644
index 00000000..fa9a7eb3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/33/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=2
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/33/main.log b/multirun/2024-03-17/10-45-20/33/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/34/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/34/.hydra/config.yaml
new file mode 100644
index 00000000..68bb9191
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/34/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 2
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.30000000000000004
+    bidirectional: false
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/34/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/34/.hydra/hydra.yaml
new file mode 100644
index 00000000..bbaa3a9d
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/34/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=2
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=2,models=GRU_FCN
+    id: '34'
+    num: 34
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/34
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/34/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/34/.hydra/overrides.yaml
new file mode 100644
index 00000000..fa9a7eb3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/34/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=2
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/34/main.log b/multirun/2024-03-17/10-45-20/34/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/35/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/35/.hydra/config.yaml
new file mode 100644
index 00000000..68bb9191
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/35/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 2
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.30000000000000004
+    bidirectional: false
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/35/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/35/.hydra/hydra.yaml
new file mode 100644
index 00000000..ade17511
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/35/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=2
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.5,models.model.hidden_size=256,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=2,models=GRU_FCN
+    id: '35'
+    num: 35
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/35
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/35/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/35/.hydra/overrides.yaml
new file mode 100644
index 00000000..fa9a7eb3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/35/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=2
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/35/main.log b/multirun/2024-03-17/10-45-20/35/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/36/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/36/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/36/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/36/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/36/.hydra/hydra.yaml
new file mode 100644
index 00000000..6d82cd92
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/36/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '36'
+    num: 36
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/36
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/36/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/36/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/36/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/36/main.log b/multirun/2024-03-17/10-45-20/36/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/37/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/37/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/37/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/37/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/37/.hydra/hydra.yaml
new file mode 100644
index 00000000..53174ecc
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/37/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '37'
+    num: 37
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/37
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/37/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/37/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/37/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/37/main.log b/multirun/2024-03-17/10-45-20/37/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/38/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/38/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/38/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/38/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/38/.hydra/hydra.yaml
new file mode 100644
index 00000000..e17c1fec
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/38/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '38'
+    num: 38
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/38
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/38/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/38/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/38/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/38/main.log b/multirun/2024-03-17/10-45-20/38/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/39/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/39/.hydra/config.yaml
new file mode 100644
index 00000000..d8a57ebe
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/39/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: false
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/39/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/39/.hydra/hydra.yaml
new file mode 100644
index 00000000..11630c76
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/39/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=False,models.model.cell_dropout=0.2,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '39'
+    num: 39
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/39
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/39/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/39/.hydra/overrides.yaml
new file mode 100644
index 00000000..a8c1b4f0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/39/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/39/main.log b/multirun/2024-03-17/10-45-20/39/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/4/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/4/.hydra/config.yaml
new file mode 100644
index 00000000..b1b7ba4c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/4/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.30000000000000004
+    bidirectional: true
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/4/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/4/.hydra/hydra.yaml
new file mode 100644
index 00000000..78dd5bdf
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/4/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.30000000000000004
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.4,models.model.hidden_size=16,models.model.rnn_dropout=0.30000000000000004,models.model.rnn_layers=3,models=GRU_FCN
+    id: '4'
+    num: 4
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/4
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/4/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/4/.hydra/overrides.yaml
new file mode 100644
index 00000000..5bc04961
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/4/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.30000000000000004
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/4/main.log b/multirun/2024-03-17/10-45-20/4/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/40/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/40/.hydra/config.yaml
new file mode 100644
index 00000000..1c6d1f54
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/40/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 3
+    bias: false
+    cell_dropout: 0.1
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/40/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/40/.hydra/hydra.yaml
new file mode 100644
index 00000000..b45c937b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/40/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=3
+    - models.model.bias=False
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=3,models=GRU_FCN
+    id: '40'
+    num: 40
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/40
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/40/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/40/.hydra/overrides.yaml
new file mode 100644
index 00000000..c5dabe1d
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/40/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=3
+- models.model.bias=False
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/40/main.log b/multirun/2024-03-17/10-45-20/40/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/41/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/41/.hydra/config.yaml
new file mode 100644
index 00000000..913c430e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/41/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.1
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.2
diff --git a/multirun/2024-03-17/10-45-20/41/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/41/.hydra/hydra.yaml
new file mode 100644
index 00000000..cff6fad9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/41/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.2
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.2,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=1,models=GRU_FCN
+    id: '41'
+    num: 41
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/41
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/41/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/41/.hydra/overrides.yaml
new file mode 100644
index 00000000..aca34cb4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/41/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.2
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/41/main.log b/multirun/2024-03-17/10-45-20/41/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/42/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/42/.hydra/config.yaml
new file mode 100644
index 00000000..913c430e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/42/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.1
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.2
diff --git a/multirun/2024-03-17/10-45-20/42/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/42/.hydra/hydra.yaml
new file mode 100644
index 00000000..a0968ce4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/42/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.2
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.2,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=1,models=GRU_FCN
+    id: '42'
+    num: 42
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/42
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/42/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/42/.hydra/overrides.yaml
new file mode 100644
index 00000000..aca34cb4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/42/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.2
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/42/main.log b/multirun/2024-03-17/10-45-20/42/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/43/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/43/.hydra/config.yaml
new file mode 100644
index 00000000..47b404e7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/43/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/43/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/43/.hydra/hydra.yaml
new file mode 100644
index 00000000..3109a4c7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/43/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=1,models=GRU_FCN
+    id: '43'
+    num: 43
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/43
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/43/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/43/.hydra/overrides.yaml
new file mode 100644
index 00000000..e7c57bf8
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/43/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/43/main.log b/multirun/2024-03-17/10-45-20/43/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/44/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/44/.hydra/config.yaml
new file mode 100644
index 00000000..d2c42868
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/44/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.0
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/44/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/44/.hydra/hydra.yaml
new file mode 100644
index 00000000..b802e834
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/44/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.0,models.model.fc_dropout=0.5,models.model.hidden_size=64,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '44'
+    num: 44
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/44
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/44/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/44/.hydra/overrides.yaml
new file mode 100644
index 00000000..77043da7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/44/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/44/main.log b/multirun/2024-03-17/10-45-20/44/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/45/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/45/.hydra/config.yaml
new file mode 100644
index 00000000..d2c42868
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/45/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.0
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/45/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/45/.hydra/hydra.yaml
new file mode 100644
index 00000000..0f7818a9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/45/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.0,models.model.fc_dropout=0.5,models.model.hidden_size=64,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '45'
+    num: 45
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/45
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/45/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/45/.hydra/overrides.yaml
new file mode 100644
index 00000000..77043da7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/45/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/45/main.log b/multirun/2024-03-17/10-45-20/45/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/46/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/46/.hydra/config.yaml
new file mode 100644
index 00000000..d2c42868
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/46/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.0
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/46/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/46/.hydra/hydra.yaml
new file mode 100644
index 00000000..da77d5c9
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/46/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.0,models.model.fc_dropout=0.5,models.model.hidden_size=64,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '46'
+    num: 46
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/46
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/46/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/46/.hydra/overrides.yaml
new file mode 100644
index 00000000..77043da7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/46/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/46/main.log b/multirun/2024-03-17/10-45-20/46/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/47/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/47/.hydra/config.yaml
new file mode 100644
index 00000000..d2c42868
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/47/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 64
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.0
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/47/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/47/.hydra/hydra.yaml
new file mode 100644
index 00000000..9ca7eacd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/47/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=64
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.0,models.model.fc_dropout=0.5,models.model.hidden_size=64,models.model.rnn_dropout=0.5,models.model.rnn_layers=3,models=GRU_FCN
+    id: '47'
+    num: 47
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/47
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/47/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/47/.hydra/overrides.yaml
new file mode 100644
index 00000000..77043da7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/47/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=64
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/47/main.log b/multirun/2024-03-17/10-45-20/47/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/48/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/48/.hydra/config.yaml
new file mode 100644
index 00000000..39115a11
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/48/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/48/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/48/.hydra/hydra.yaml
new file mode 100644
index 00000000..ca4f68fd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/48/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=32,models.model.rnn_dropout=0.4,models.model.rnn_layers=4,models=GRU_FCN
+    id: '48'
+    num: 48
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/48
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/48/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/48/.hydra/overrides.yaml
new file mode 100644
index 00000000..a056c36c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/48/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/48/main.log b/multirun/2024-03-17/10-45-20/48/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/49/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/49/.hydra/config.yaml
new file mode 100644
index 00000000..39115a11
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/49/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/49/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/49/.hydra/hydra.yaml
new file mode 100644
index 00000000..9a4dd732
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/49/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=32,models.model.rnn_dropout=0.4,models.model.rnn_layers=4,models=GRU_FCN
+    id: '49'
+    num: 49
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/49
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/49/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/49/.hydra/overrides.yaml
new file mode 100644
index 00000000..a056c36c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/49/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/49/main.log b/multirun/2024-03-17/10-45-20/49/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/5/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/5/.hydra/config.yaml
new file mode 100644
index 00000000..f0a02c95
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/5/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.6
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.4
diff --git a/multirun/2024-03-17/10-45-20/5/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/5/.hydra/hydra.yaml
new file mode 100644
index 00000000..e2109527
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/5/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.4
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.4,models.model.hidden_size=256,models.model.rnn_dropout=0.2,models.model.rnn_layers=1,models=GRU_FCN
+    id: '5'
+    num: 5
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/5
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/5/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/5/.hydra/overrides.yaml
new file mode 100644
index 00000000..16b3ea90
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/5/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.4
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/5/main.log b/multirun/2024-03-17/10-45-20/5/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/50/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/50/.hydra/config.yaml
new file mode 100644
index 00000000..39115a11
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/50/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/50/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/50/.hydra/hydra.yaml
new file mode 100644
index 00000000..b57c3d8a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/50/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=32,models.model.rnn_dropout=0.4,models.model.rnn_layers=4,models=GRU_FCN
+    id: '50'
+    num: 50
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/50
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/50/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/50/.hydra/overrides.yaml
new file mode 100644
index 00000000..a056c36c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/50/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/50/main.log b/multirun/2024-03-17/10-45-20/50/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/51/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/51/.hydra/config.yaml
new file mode 100644
index 00000000..2ecf5d81
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/51/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/51/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/51/.hydra/hydra.yaml
new file mode 100644
index 00000000..e4d50b36
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/51/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.6,models.model.hidden_size=32,models.model.rnn_dropout=0.4,models.model.rnn_layers=4,models=GRU_FCN
+    id: '51'
+    num: 51
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/51
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/51/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/51/.hydra/overrides.yaml
new file mode 100644
index 00000000..49c92f1e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/51/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/51/main.log b/multirun/2024-03-17/10-45-20/51/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/52/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/52/.hydra/config.yaml
new file mode 100644
index 00000000..33d846bd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/52/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/52/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/52/.hydra/hydra.yaml
new file mode 100644
index 00000000..e06d56ff
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/52/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '52'
+    num: 52
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/52
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/52/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/52/.hydra/overrides.yaml
new file mode 100644
index 00000000..feade074
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/52/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/52/main.log b/multirun/2024-03-17/10-45-20/52/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/53/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/53/.hydra/config.yaml
new file mode 100644
index 00000000..6e3bc9d7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/53/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.6
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/53/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/53/.hydra/hydra.yaml
new file mode 100644
index 00000000..1041d64d
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/53/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '53'
+    num: 53
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/53
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/53/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/53/.hydra/overrides.yaml
new file mode 100644
index 00000000..04e3110c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/53/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/53/main.log b/multirun/2024-03-17/10-45-20/53/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/54/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/54/.hydra/config.yaml
new file mode 100644
index 00000000..33d846bd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/54/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.1
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/54/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/54/.hydra/hydra.yaml
new file mode 100644
index 00000000..b869db4c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/54/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.1
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.1,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '54'
+    num: 54
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/54
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/54/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/54/.hydra/overrides.yaml
new file mode 100644
index 00000000..feade074
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/54/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.1
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/54/main.log b/multirun/2024-03-17/10-45-20/54/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/55/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/55/.hydra/config.yaml
new file mode 100644
index 00000000..6e3bc9d7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/55/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.6
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/55/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/55/.hydra/hydra.yaml
new file mode 100644
index 00000000..d4ed2f42
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/55/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '55'
+    num: 55
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/55
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/55/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/55/.hydra/overrides.yaml
new file mode 100644
index 00000000..04e3110c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/55/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/55/main.log b/multirun/2024-03-17/10-45-20/55/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/56/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/56/.hydra/config.yaml
new file mode 100644
index 00000000..24c4f955
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/56/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/56/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/56/.hydra/hydra.yaml
new file mode 100644
index 00000000..ef4e42d5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/56/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '56'
+    num: 56
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/56
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/56/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/56/.hydra/overrides.yaml
new file mode 100644
index 00000000..600624d3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/56/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/56/main.log b/multirun/2024-03-17/10-45-20/56/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/57/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/57/.hydra/config.yaml
new file mode 100644
index 00000000..24c4f955
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/57/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/57/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/57/.hydra/hydra.yaml
new file mode 100644
index 00000000..d33b34cc
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/57/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '57'
+    num: 57
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/57
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/57/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/57/.hydra/overrides.yaml
new file mode 100644
index 00000000..600624d3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/57/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/57/main.log b/multirun/2024-03-17/10-45-20/57/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/58/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/58/.hydra/config.yaml
new file mode 100644
index 00000000..24c4f955
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/58/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/58/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/58/.hydra/hydra.yaml
new file mode 100644
index 00000000..34ef1665
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/58/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '58'
+    num: 58
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/58
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/58/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/58/.hydra/overrides.yaml
new file mode 100644
index 00000000..600624d3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/58/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/58/main.log b/multirun/2024-03-17/10-45-20/58/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/59/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/59/.hydra/config.yaml
new file mode 100644
index 00000000..24c4f955
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/59/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 3
+    bias: true
+    cell_dropout: 0.2
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/59/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/59/.hydra/hydra.yaml
new file mode 100644
index 00000000..0a567bb3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/59/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=3
+    - models.model.bias=True
+    - models.model.cell_dropout=0.2
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.2,models.model.fc_dropout=0.6,models.model.hidden_size=16,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '59'
+    num: 59
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/59
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/59/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/59/.hydra/overrides.yaml
new file mode 100644
index 00000000..600624d3
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/59/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=3
+- models.model.bias=True
+- models.model.cell_dropout=0.2
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/59/main.log b/multirun/2024-03-17/10-45-20/59/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/6/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/6/.hydra/config.yaml
new file mode 100644
index 00000000..aa334e68
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/6/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.2
diff --git a/multirun/2024-03-17/10-45-20/6/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/6/.hydra/hydra.yaml
new file mode 100644
index 00000000..2471e2aa
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/6/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.2
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.2,models.model.hidden_size=256,models.model.rnn_dropout=0.5,models.model.rnn_layers=1,models=GRU_FCN
+    id: '6'
+    num: 6
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/6
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/6/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/6/.hydra/overrides.yaml
new file mode 100644
index 00000000..88a8a376
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/6/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.2
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/6/main.log b/multirun/2024-03-17/10-45-20/6/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/60/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/60/.hydra/config.yaml
new file mode 100644
index 00000000..70ba08aa
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/60/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/60/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/60/.hydra/hydra.yaml
new file mode 100644
index 00000000..37ddb744
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/60/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '60'
+    num: 60
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/60
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/60/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/60/.hydra/overrides.yaml
new file mode 100644
index 00000000..e8f3b786
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/60/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/60/main.log b/multirun/2024-03-17/10-45-20/60/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/61/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/61/.hydra/config.yaml
new file mode 100644
index 00000000..075c95b4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/61/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/61/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/61/.hydra/hydra.yaml
new file mode 100644
index 00000000..b2d1d7a6
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/61/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '61'
+    num: 61
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/61
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/61/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/61/.hydra/overrides.yaml
new file mode 100644
index 00000000..f3a8c758
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/61/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/61/main.log b/multirun/2024-03-17/10-45-20/61/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/62/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/62/.hydra/config.yaml
new file mode 100644
index 00000000..70ba08aa
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/62/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/62/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/62/.hydra/hydra.yaml
new file mode 100644
index 00000000..85f23d38
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/62/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '62'
+    num: 62
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/62
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/62/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/62/.hydra/overrides.yaml
new file mode 100644
index 00000000..e8f3b786
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/62/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/62/main.log b/multirun/2024-03-17/10-45-20/62/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/63/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/63/.hydra/config.yaml
new file mode 100644
index 00000000..075c95b4
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/63/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.5
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/63/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/63/.hydra/hydra.yaml
new file mode 100644
index 00000000..d8d30ea7
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/63/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.5
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.5,models.model.rnn_layers=4,models=GRU_FCN
+    id: '63'
+    num: 63
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/63
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/63/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/63/.hydra/overrides.yaml
new file mode 100644
index 00000000..f3a8c758
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/63/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.5
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/63/main.log b/multirun/2024-03-17/10-45-20/63/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/64/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/64/.hydra/config.yaml
new file mode 100644
index 00000000..f86534cf
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/64/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/64/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/64/.hydra/hydra.yaml
new file mode 100644
index 00000000..dc14d973
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/64/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '64'
+    num: 64
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/64
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/64/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/64/.hydra/overrides.yaml
new file mode 100644
index 00000000..0a616211
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/64/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/64/main.log b/multirun/2024-03-17/10-45-20/64/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/65/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/65/.hydra/config.yaml
new file mode 100644
index 00000000..f86534cf
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/65/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/65/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/65/.hydra/hydra.yaml
new file mode 100644
index 00000000..697ebb23
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/65/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '65'
+    num: 65
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/65
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/65/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/65/.hydra/overrides.yaml
new file mode 100644
index 00000000..0a616211
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/65/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/65/main.log b/multirun/2024-03-17/10-45-20/65/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/66/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/66/.hydra/config.yaml
new file mode 100644
index 00000000..2a98cc87
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/66/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/66/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/66/.hydra/hydra.yaml
new file mode 100644
index 00000000..c54f71b0
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/66/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.4,models.model.rnn_layers=4,models=GRU_FCN
+    id: '66'
+    num: 66
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/66
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/66/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/66/.hydra/overrides.yaml
new file mode 100644
index 00000000..79353e5e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/66/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/66/main.log b/multirun/2024-03-17/10-45-20/66/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/67/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/67/.hydra/config.yaml
new file mode 100644
index 00000000..f86534cf
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/67/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: true
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/67/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/67/.hydra/hydra.yaml
new file mode 100644
index 00000000..fe09b165
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/67/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=True
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=True,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '67'
+    num: 67
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/67
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/67/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/67/.hydra/overrides.yaml
new file mode 100644
index 00000000..0a616211
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/67/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=True
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/67/main.log b/multirun/2024-03-17/10-45-20/67/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/68/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/68/.hydra/config.yaml
new file mode 100644
index 00000000..ff1c8443
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/68/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/68/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/68/.hydra/hydra.yaml
new file mode 100644
index 00000000..b7878cac
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/68/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '68'
+    num: 68
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/68
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/68/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/68/.hydra/overrides.yaml
new file mode 100644
index 00000000..8a6a44a2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/68/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/68/main.log b/multirun/2024-03-17/10-45-20/68/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/69/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/69/.hydra/config.yaml
new file mode 100644
index 00000000..ff1c8443
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/69/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/69/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/69/.hydra/hydra.yaml
new file mode 100644
index 00000000..4818ef73
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/69/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '69'
+    num: 69
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/69
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/69/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/69/.hydra/overrides.yaml
new file mode 100644
index 00000000..8a6a44a2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/69/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/69/main.log b/multirun/2024-03-17/10-45-20/69/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/7/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/7/.hydra/config.yaml
new file mode 100644
index 00000000..345f8103
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/7/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 3
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.6
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/7/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/7/.hydra/hydra.yaml
new file mode 100644
index 00000000..be245c04
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/7/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=3
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.6
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=32,models.model.rnn_dropout=0.6,models.model.rnn_layers=3,models=GRU_FCN
+    id: '7'
+    num: 7
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/7
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/7/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/7/.hydra/overrides.yaml
new file mode 100644
index 00000000..4b1327b6
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/7/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=3
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.6
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/7/main.log b/multirun/2024-03-17/10-45-20/7/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/70/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/70/.hydra/config.yaml
new file mode 100644
index 00000000..ff1c8443
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/70/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/70/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/70/.hydra/hydra.yaml
new file mode 100644
index 00000000..ec64951c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/70/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '70'
+    num: 70
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/70
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/70/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/70/.hydra/overrides.yaml
new file mode 100644
index 00000000..8a6a44a2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/70/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/70/main.log b/multirun/2024-03-17/10-45-20/70/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/71/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/71/.hydra/config.yaml
new file mode 100644
index 00000000..ff1c8443
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/71/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/71/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/71/.hydra/hydra.yaml
new file mode 100644
index 00000000..374e0011
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/71/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '71'
+    num: 71
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/71
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/71/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/71/.hydra/overrides.yaml
new file mode 100644
index 00000000..8a6a44a2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/71/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/71/main.log b/multirun/2024-03-17/10-45-20/71/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/72/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/72/.hydra/config.yaml
new file mode 100644
index 00000000..5081c219
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/72/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/72/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/72/.hydra/hydra.yaml
new file mode 100644
index 00000000..8bd03efd
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/72/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '72'
+    num: 72
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/72
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/72/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/72/.hydra/overrides.yaml
new file mode 100644
index 00000000..a871b213
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/72/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/72/main.log b/multirun/2024-03-17/10-45-20/72/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/73/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/73/.hydra/config.yaml
new file mode 100644
index 00000000..0b50c9ac
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/73/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/73/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/73/.hydra/hydra.yaml
new file mode 100644
index 00000000..aee7c831
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/73/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '73'
+    num: 73
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/73
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/73/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/73/.hydra/overrides.yaml
new file mode 100644
index 00000000..2cc49e84
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/73/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/73/main.log b/multirun/2024-03-17/10-45-20/73/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/74/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/74/.hydra/config.yaml
new file mode 100644
index 00000000..0b50c9ac
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/74/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/74/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/74/.hydra/hydra.yaml
new file mode 100644
index 00000000..d097a93b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/74/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '74'
+    num: 74
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/74
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/74/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/74/.hydra/overrides.yaml
new file mode 100644
index 00000000..2cc49e84
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/74/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/74/main.log b/multirun/2024-03-17/10-45-20/74/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/75/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/75/.hydra/config.yaml
new file mode 100644
index 00000000..0b50c9ac
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/75/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/75/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/75/.hydra/hydra.yaml
new file mode 100644
index 00000000..4a4b4a77
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/75/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '75'
+    num: 75
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/75
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/75/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/75/.hydra/overrides.yaml
new file mode 100644
index 00000000..2cc49e84
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/75/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/75/main.log b/multirun/2024-03-17/10-45-20/75/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/76/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/76/.hydra/config.yaml
new file mode 100644
index 00000000..5081c219
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/76/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/76/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/76/.hydra/hydra.yaml
new file mode 100644
index 00000000..cd6ceaca
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/76/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '76'
+    num: 76
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/76
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/76/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/76/.hydra/overrides.yaml
new file mode 100644
index 00000000..a871b213
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/76/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/76/main.log b/multirun/2024-03-17/10-45-20/76/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/77/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/77/.hydra/config.yaml
new file mode 100644
index 00000000..5081c219
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/77/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/77/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/77/.hydra/hydra.yaml
new file mode 100644
index 00000000..5f896bab
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/77/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '77'
+    num: 77
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/77
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/77/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/77/.hydra/overrides.yaml
new file mode 100644
index 00000000..a871b213
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/77/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/77/main.log b/multirun/2024-03-17/10-45-20/77/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/78/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/78/.hydra/config.yaml
new file mode 100644
index 00000000..5081c219
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/78/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/78/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/78/.hydra/hydra.yaml
new file mode 100644
index 00000000..2ef40cef
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/78/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '78'
+    num: 78
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/78
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/78/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/78/.hydra/overrides.yaml
new file mode 100644
index 00000000..a871b213
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/78/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/78/main.log b/multirun/2024-03-17/10-45-20/78/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/79/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/79/.hydra/config.yaml
new file mode 100644
index 00000000..424a3f7a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/79/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.5
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.0
diff --git a/multirun/2024-03-17/10-45-20/79/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/79/.hydra/hydra.yaml
new file mode 100644
index 00000000..fe7c7fd5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/79/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.5
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.0
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.5,models.model.fc_dropout=0.0,models.model.hidden_size=128,models.model.rnn_dropout=0.1,models.model.rnn_layers=4,models=GRU_FCN
+    id: '79'
+    num: 79
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/79
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/79/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/79/.hydra/overrides.yaml
new file mode 100644
index 00000000..eab31073
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/79/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.5
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.0
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/79/main.log b/multirun/2024-03-17/10-45-20/79/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/8/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/8/.hydra/config.yaml
new file mode 100644
index 00000000..260b8fa8
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/8/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 16
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.0
+    bidirectional: false
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/8/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/8/.hydra/hydra.yaml
new file mode 100644
index 00000000..f8e5d8fc
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/8/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=16
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=False
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=False,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=16,models.model.rnn_dropout=0.0,models.model.rnn_layers=2,models=GRU_FCN
+    id: '8'
+    num: 8
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/8
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/8/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/8/.hydra/overrides.yaml
new file mode 100644
index 00000000..740587a1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/8/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=16
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=False
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/8/main.log b/multirun/2024-03-17/10-45-20/8/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/80/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/80/.hydra/config.yaml
new file mode 100644
index 00000000..c499365b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/80/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/80/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/80/.hydra/hydra.yaml
new file mode 100644
index 00000000..990f60cf
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/80/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '80'
+    num: 80
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/80
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/80/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/80/.hydra/overrides.yaml
new file mode 100644
index 00000000..cd64725c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/80/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/80/main.log b/multirun/2024-03-17/10-45-20/80/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/81/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/81/.hydra/config.yaml
new file mode 100644
index 00000000..c499365b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/81/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/81/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/81/.hydra/hydra.yaml
new file mode 100644
index 00000000..096dea62
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/81/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '81'
+    num: 81
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/81
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/81/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/81/.hydra/overrides.yaml
new file mode 100644
index 00000000..cd64725c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/81/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/81/main.log b/multirun/2024-03-17/10-45-20/81/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/82/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/82/.hydra/config.yaml
new file mode 100644
index 00000000..c499365b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/82/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/82/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/82/.hydra/hydra.yaml
new file mode 100644
index 00000000..00f5fb1a
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/82/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '82'
+    num: 82
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/82
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/82/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/82/.hydra/overrides.yaml
new file mode 100644
index 00000000..cd64725c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/82/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/82/main.log b/multirun/2024-03-17/10-45-20/82/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/83/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/83/.hydra/config.yaml
new file mode 100644
index 00000000..c499365b
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/83/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/83/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/83/.hydra/hydra.yaml
new file mode 100644
index 00000000..6501aa2e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/83/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '83'
+    num: 83
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/83
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/83/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/83/.hydra/overrides.yaml
new file mode 100644
index 00000000..cd64725c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/83/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/83/main.log b/multirun/2024-03-17/10-45-20/83/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/84/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/84/.hydra/config.yaml
new file mode 100644
index 00000000..2a39715c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/84/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/84/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/84/.hydra/hydra.yaml
new file mode 100644
index 00000000..2c5c3315
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/84/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=4,models=GRU_FCN
+    id: '84'
+    num: 84
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/84
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/84/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/84/.hydra/overrides.yaml
new file mode 100644
index 00000000..55173a22
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/84/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/84/main.log b/multirun/2024-03-17/10-45-20/84/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/85/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/85/.hydra/config.yaml
new file mode 100644
index 00000000..2a39715c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/85/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/85/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/85/.hydra/hydra.yaml
new file mode 100644
index 00000000..951fff51
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/85/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=4,models=GRU_FCN
+    id: '85'
+    num: 85
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/85
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/85/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/85/.hydra/overrides.yaml
new file mode 100644
index 00000000..55173a22
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/85/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/85/main.log b/multirun/2024-03-17/10-45-20/85/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/86/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/86/.hydra/config.yaml
new file mode 100644
index 00000000..2a39715c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/86/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/86/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/86/.hydra/hydra.yaml
new file mode 100644
index 00000000..57837768
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/86/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=4,models=GRU_FCN
+    id: '86'
+    num: 86
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/86
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/86/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/86/.hydra/overrides.yaml
new file mode 100644
index 00000000..55173a22
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/86/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/86/main.log b/multirun/2024-03-17/10-45-20/86/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/87/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/87/.hydra/config.yaml
new file mode 100644
index 00000000..2a39715c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/87/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/87/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/87/.hydra/hydra.yaml
new file mode 100644
index 00000000..3e0c1f02
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/87/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=4,models=GRU_FCN
+    id: '87'
+    num: 87
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/87
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/87/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/87/.hydra/overrides.yaml
new file mode 100644
index 00000000..55173a22
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/87/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/87/main.log b/multirun/2024-03-17/10-45-20/87/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/88/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/88/.hydra/config.yaml
new file mode 100644
index 00000000..b66c4252
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/88/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/88/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/88/.hydra/hydra.yaml
new file mode 100644
index 00000000..0b725733
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/88/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=2,models=GRU_FCN
+    id: '88'
+    num: 88
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/88
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/88/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/88/.hydra/overrides.yaml
new file mode 100644
index 00000000..2c4209a5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/88/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/88/main.log b/multirun/2024-03-17/10-45-20/88/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/89/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/89/.hydra/config.yaml
new file mode 100644
index 00000000..b66c4252
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/89/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/89/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/89/.hydra/hydra.yaml
new file mode 100644
index 00000000..370de8f2
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/89/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=2,models=GRU_FCN
+    id: '89'
+    num: 89
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/89
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/89/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/89/.hydra/overrides.yaml
new file mode 100644
index 00000000..2c4209a5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/89/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/89/main.log b/multirun/2024-03-17/10-45-20/89/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/9/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/9/.hydra/config.yaml
new file mode 100644
index 00000000..fc6e3b66
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/9/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 32
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.0
+    rnn_dropout: 0.4
+    bidirectional: true
+    fc_dropout: 0.30000000000000004
diff --git a/multirun/2024-03-17/10-45-20/9/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/9/.hydra/hydra.yaml
new file mode 100644
index 00000000..3b06aa17
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/9/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=32
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.0
+    - models.model.rnn_dropout=0.4
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.30000000000000004
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.0,models.model.fc_dropout=0.30000000000000004,models.model.hidden_size=32,models.model.rnn_dropout=0.4,models.model.rnn_layers=1,models=GRU_FCN
+    id: '9'
+    num: 9
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/9
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/9/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/9/.hydra/overrides.yaml
new file mode 100644
index 00000000..1cf60386
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/9/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=32
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.0
+- models.model.rnn_dropout=0.4
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.30000000000000004
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/9/main.log b/multirun/2024-03-17/10-45-20/9/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/90/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/90/.hydra/config.yaml
new file mode 100644
index 00000000..b66c4252
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/90/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/90/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/90/.hydra/hydra.yaml
new file mode 100644
index 00000000..0593b4da
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/90/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=2,models=GRU_FCN
+    id: '90'
+    num: 90
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/90
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/90/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/90/.hydra/overrides.yaml
new file mode 100644
index 00000000..2c4209a5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/90/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/90/main.log b/multirun/2024-03-17/10-45-20/90/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/91/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/91/.hydra/config.yaml
new file mode 100644
index 00000000..b66c4252
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/91/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 2
+    bias: false
+    cell_dropout: 0.4
+    rnn_dropout: 0.2
+    bidirectional: true
+    fc_dropout: 0.5
diff --git a/multirun/2024-03-17/10-45-20/91/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/91/.hydra/hydra.yaml
new file mode 100644
index 00000000..20105558
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/91/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=2
+    - models.model.bias=False
+    - models.model.cell_dropout=0.4
+    - models.model.rnn_dropout=0.2
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.5
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.4,models.model.fc_dropout=0.5,models.model.hidden_size=128,models.model.rnn_dropout=0.2,models.model.rnn_layers=2,models=GRU_FCN
+    id: '91'
+    num: 91
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/91
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/91/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/91/.hydra/overrides.yaml
new file mode 100644
index 00000000..2c4209a5
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/91/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=2
+- models.model.bias=False
+- models.model.cell_dropout=0.4
+- models.model.rnn_dropout=0.2
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.5
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/91/main.log b/multirun/2024-03-17/10-45-20/91/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/92/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/92/.hydra/config.yaml
new file mode 100644
index 00000000..5471906e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/92/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/92/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/92/.hydra/hydra.yaml
new file mode 100644
index 00000000..c97cfd20
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/92/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '92'
+    num: 92
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/92
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/92/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/92/.hydra/overrides.yaml
new file mode 100644
index 00000000..c8c543d1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/92/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/92/main.log b/multirun/2024-03-17/10-45-20/92/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/93/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/93/.hydra/config.yaml
new file mode 100644
index 00000000..5471906e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/93/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/93/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/93/.hydra/hydra.yaml
new file mode 100644
index 00000000..f4fe0b41
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/93/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '93'
+    num: 93
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/93
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/93/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/93/.hydra/overrides.yaml
new file mode 100644
index 00000000..c8c543d1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/93/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/93/main.log b/multirun/2024-03-17/10-45-20/93/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/94/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/94/.hydra/config.yaml
new file mode 100644
index 00000000..5471906e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/94/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/94/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/94/.hydra/hydra.yaml
new file mode 100644
index 00000000..b332de0e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/94/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '94'
+    num: 94
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/94
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/94/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/94/.hydra/overrides.yaml
new file mode 100644
index 00000000..c8c543d1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/94/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/94/main.log b/multirun/2024-03-17/10-45-20/94/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/95/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/95/.hydra/config.yaml
new file mode 100644
index 00000000..5471906e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/95/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 128
+    rnn_layers: 4
+    bias: false
+    cell_dropout: 0.30000000000000004
+    rnn_dropout: 0.0
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/95/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/95/.hydra/hydra.yaml
new file mode 100644
index 00000000..0cc2775c
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/95/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=128
+    - models.model.rnn_layers=4
+    - models.model.bias=False
+    - models.model.cell_dropout=0.30000000000000004
+    - models.model.rnn_dropout=0.0
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.30000000000000004,models.model.fc_dropout=0.6,models.model.hidden_size=128,models.model.rnn_dropout=0.0,models.model.rnn_layers=4,models=GRU_FCN
+    id: '95'
+    num: 95
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/95
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/95/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/95/.hydra/overrides.yaml
new file mode 100644
index 00000000..c8c543d1
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/95/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=128
+- models.model.rnn_layers=4
+- models.model.bias=False
+- models.model.cell_dropout=0.30000000000000004
+- models.model.rnn_dropout=0.0
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/95/main.log b/multirun/2024-03-17/10-45-20/95/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/96/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/96/.hydra/config.yaml
new file mode 100644
index 00000000..e59774ce
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/96/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.6
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/96/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/96/.hydra/hydra.yaml
new file mode 100644
index 00000000..8dc80915
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/96/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=256,models.model.rnn_dropout=0.1,models.model.rnn_layers=1,models=GRU_FCN
+    id: '96'
+    num: 96
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/96
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/96/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/96/.hydra/overrides.yaml
new file mode 100644
index 00000000..4368f392
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/96/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/96/main.log b/multirun/2024-03-17/10-45-20/96/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/97/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/97/.hydra/config.yaml
new file mode 100644
index 00000000..e59774ce
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/97/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.6
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/97/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/97/.hydra/hydra.yaml
new file mode 100644
index 00000000..e2842e5d
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/97/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=256,models.model.rnn_dropout=0.1,models.model.rnn_layers=1,models=GRU_FCN
+    id: '97'
+    num: 97
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/97
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/97/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/97/.hydra/overrides.yaml
new file mode 100644
index 00000000..4368f392
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/97/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/97/main.log b/multirun/2024-03-17/10-45-20/97/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/98/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/98/.hydra/config.yaml
new file mode 100644
index 00000000..e59774ce
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/98/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.6
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/98/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/98/.hydra/hydra.yaml
new file mode 100644
index 00000000..901e609e
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/98/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=256,models.model.rnn_dropout=0.1,models.model.rnn_layers=1,models=GRU_FCN
+    id: '98'
+    num: 98
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/98
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/98/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/98/.hydra/overrides.yaml
new file mode 100644
index 00000000..4368f392
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/98/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/98/main.log b/multirun/2024-03-17/10-45-20/98/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/99/.hydra/config.yaml b/multirun/2024-03-17/10-45-20/99/.hydra/config.yaml
new file mode 100644
index 00000000..e59774ce
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/99/.hydra/config.yaml
@@ -0,0 +1,21 @@
+dataset_name:
+- ItalyPowerDemand
+training_params:
+  epochs: 500
+  lr: 0.001
+datasets:
+  model_params:
+    _target_: codes.dataset.Datasets.Datasets
+  data_params:
+    ts_length: 24
+    normalize: true
+models:
+  model:
+    _target_: codes.models.GRU_FCN.GRU_FCN_classifier
+    hidden_size: 256
+    rnn_layers: 1
+    bias: false
+    cell_dropout: 0.6
+    rnn_dropout: 0.1
+    bidirectional: true
+    fc_dropout: 0.6
diff --git a/multirun/2024-03-17/10-45-20/99/.hydra/hydra.yaml b/multirun/2024-03-17/10-45-20/99/.hydra/hydra.yaml
new file mode 100644
index 00000000..b5009b8d
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/99/.hydra/hydra.yaml
@@ -0,0 +1,191 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    sampler:
+      _target_: optuna.samplers.TPESampler
+      seed: 123
+      consider_prior: true
+      prior_weight: 1.0
+      consider_magic_clip: true
+      consider_endpoints: false
+      n_startup_trials: 10
+      n_ei_candidates: 24
+      multivariate: false
+      warn_independent_sampling: true
+    _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
+    direction: maximize
+    storage: null
+    study_name: main_val
+    n_trials: 100
+    n_jobs: 4
+    search_space: null
+    params:
+      models.model.hidden_size: choice(16, 32, 64, 128, 256)
+      models.model.rnn_layers: choice(1, 2, 3, 4)
+      models.model.bias: bool (True, False)
+      models.model.cell_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.rnn_dropout: float (range(0.0, 0.6, 0.1))
+      models.model.bidirectional: bool (True, False)
+      models.model.fc_dropout: float (range(0.0, 0.6, 0.1))
+    custom_search_space: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: MULTIRUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=MULTIRUN
+    task:
+    - models.model.hidden_size=256
+    - models.model.rnn_layers=1
+    - models.model.bias=False
+    - models.model.cell_dropout=0.6
+    - models.model.rnn_dropout=0.1
+    - models.model.bidirectional=True
+    - models.model.fc_dropout=0.6
+    - dataset_name=[ItalyPowerDemand]
+    - models=GRU_FCN
+  job:
+    name: main
+    chdir: null
+    override_dirname: dataset_name=[ItalyPowerDemand],models.model.bias=False,models.model.bidirectional=True,models.model.cell_dropout=0.6,models.model.fc_dropout=0.6,models.model.hidden_size=256,models.model.rnn_dropout=0.1,models.model.rnn_layers=1,models=GRU_FCN
+    id: '99'
+    num: 99
+    config_name: main_config.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/configs
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /home/pops/myProjects/ts_classification_mlflow_hydra_optuna/multirun/2024-03-17/10-45-20/99
+    choices:
+      models: GRU_FCN
+      datasets: dataset_params
+      search_spaces@hydra.sweeper.params: GRU_FCN
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: optuna
+      hydra/sweeper/sampler: tpe
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false
diff --git a/multirun/2024-03-17/10-45-20/99/.hydra/overrides.yaml b/multirun/2024-03-17/10-45-20/99/.hydra/overrides.yaml
new file mode 100644
index 00000000..4368f392
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/99/.hydra/overrides.yaml
@@ -0,0 +1,9 @@
+- models.model.hidden_size=256
+- models.model.rnn_layers=1
+- models.model.bias=False
+- models.model.cell_dropout=0.6
+- models.model.rnn_dropout=0.1
+- models.model.bidirectional=True
+- models.model.fc_dropout=0.6
+- dataset_name=[ItalyPowerDemand]
+- models=GRU_FCN
diff --git a/multirun/2024-03-17/10-45-20/99/main.log b/multirun/2024-03-17/10-45-20/99/main.log
new file mode 100644
index 00000000..e69de29b
diff --git a/multirun/2024-03-17/10-45-20/optimization_results.yaml b/multirun/2024-03-17/10-45-20/optimization_results.yaml
new file mode 100644
index 00000000..76d23525
--- /dev/null
+++ b/multirun/2024-03-17/10-45-20/optimization_results.yaml
@@ -0,0 +1,10 @@
+name: optuna
+best_params:
+  models.model.hidden_size: 128
+  models.model.rnn_layers: 4
+  models.model.bias: false
+  models.model.cell_dropout: 0.5
+  models.model.rnn_dropout: 0.1
+  models.model.bidirectional: true
+  models.model.fc_dropout: 0.6
+best_value: 0.9708454810495627