lstm_tf_el_graph.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Read data\n",
    "df = pd.read_csv('data-sets/air_passengers.csv')\n",
    "\n",
    "# Create lagged features\n",
    "for i in range(1, 3):\n",
    "    df[f'lag_{i}'] = df['Passengers'].shift(i)\n",
    "\n",
    "# Drop NA values\n",
    "df.dropna(inplace=True)\n",
    "\n",
    "# Define inputs and target\n",
    "X = df[['lag_1', 'lag_2']].values\n",
    "y = df['Passengers'].values\n",
    "\n",
    "# Split data\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=42)  # 0.2 x 0.8 = 0.16\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\cemer\\OneDrive\\Belgeler\\GitHub\\price-prediction-with-machine-learning\\lstm_tf_el_graph.ipynb Cell 2\u001b[0m in \u001b[0;36m2\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpyplot\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mplt\u001b[39;00m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mtf\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39m# Load and preprocess your data\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m \u001b[39m# Assuming you have your data in x_train and y_train variables\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m \n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/cemer/OneDrive/Belgeler/GitHub/price-prediction-with-machine-learning/lstm_tf_el_graph.ipynb#W1sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m \u001b[39m# Define your model\u001b[39;00m\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\__init__.py:37\u001b[0m\n\u001b[0;32m     34\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39msys\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39m_sys\u001b[39;00m\n\u001b[0;32m     35\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtyping\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39m_typing\u001b[39;00m\n\u001b[1;32m---> 37\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mtools\u001b[39;00m \u001b[39mimport\u001b[39;00m module_util \u001b[39mas\u001b[39;00m _module_util\n\u001b[0;32m     38\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutil\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mlazy_loader\u001b[39;00m \u001b[39mimport\u001b[39;00m LazyLoader \u001b[39mas\u001b[39;00m _LazyLoader\n\u001b[0;32m     40\u001b[0m \u001b[39m# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.\u001b[39;00m\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\__init__.py:45\u001b[0m\n\u001b[0;32m     43\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m \u001b[39mimport\u001b[39;00m distribute\n\u001b[0;32m     44\u001b[0m \u001b[39m# from tensorflow.python import keras\u001b[39;00m\n\u001b[1;32m---> 45\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column\u001b[39;00m \u001b[39mimport\u001b[39;00m feature_column_lib \u001b[39mas\u001b[39;00m feature_column\n\u001b[0;32m     46\u001b[0m \u001b[39m# from tensorflow.python.layers import layers\u001b[39;00m\n\u001b[0;32m     47\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmodule\u001b[39;00m \u001b[39mimport\u001b[39;00m module\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\feature_column\\feature_column_lib.py:18\u001b[0m\n\u001b[0;32m     15\u001b[0m \u001b[39m\"\"\"FeatureColumns: tools for ingesting and representing features.\"\"\"\u001b[39;00m\n\u001b[0;32m     17\u001b[0m \u001b[39m# pylint: disable=unused-import,line-too-long,wildcard-import,g-bad-import-order\u001b[39;00m\n\u001b[1;32m---> 18\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[0;32m     19\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column_v2\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[0;32m     20\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mfeature_column\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msequence_feature_column\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\feature_column\\feature_column.py:143\u001b[0m\n\u001b[0;32m    141\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mframework\u001b[39;00m \u001b[39mimport\u001b[39;00m sparse_tensor \u001b[39mas\u001b[39;00m sparse_tensor_lib\n\u001b[0;32m    142\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mframework\u001b[39;00m \u001b[39mimport\u001b[39;00m tensor_shape\n\u001b[1;32m--> 143\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mlayers\u001b[39;00m \u001b[39mimport\u001b[39;00m base\n\u001b[0;32m    144\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mops\u001b[39;00m \u001b[39mimport\u001b[39;00m array_ops\n\u001b[0;32m    145\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mops\u001b[39;00m \u001b[39mimport\u001b[39;00m check_ops\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\layers\\base.py:16\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[39m# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m      3\u001b[0m \u001b[39m# Licensed under the Apache License, Version 2.0 (the \"License\");\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     13\u001b[0m \u001b[39m# limitations under the License.\u001b[39;00m\n\u001b[0;32m     14\u001b[0m \u001b[39m# =============================================================================\u001b[39;00m\n\u001b[0;32m     15\u001b[0m \u001b[39m\"\"\"Contains the base Layer class, from which all layers inherit.\"\"\"\u001b[39;00m\n\u001b[1;32m---> 16\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mlegacy_tf_layers\u001b[39;00m \u001b[39mimport\u001b[39;00m base\n\u001b[0;32m     18\u001b[0m InputSpec \u001b[39m=\u001b[39m base\u001b[39m.\u001b[39mInputSpec\n\u001b[0;32m     20\u001b[0m keras_style_scope \u001b[39m=\u001b[39m base\u001b[39m.\u001b[39mkeras_style_scope\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\keras\\__init__.py:25\u001b[0m\n\u001b[0;32m     22\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m distribute\n\u001b[0;32m     24\u001b[0m \u001b[39m# See b/110718070#comment18 for more details about this import.\u001b[39;00m\n\u001b[1;32m---> 25\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m models\n\u001b[0;32m     27\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39minput_layer\u001b[39;00m \u001b[39mimport\u001b[39;00m Input\n\u001b[0;32m     28\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msequential\u001b[39;00m \u001b[39mimport\u001b[39;00m Sequential\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\keras\\models.py:22\u001b[0m\n\u001b[0;32m     20\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m metrics \u001b[39mas\u001b[39;00m metrics_module\n\u001b[0;32m     21\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m optimizer_v1\n\u001b[1;32m---> 22\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m functional\n\u001b[0;32m     23\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m sequential\n\u001b[0;32m     24\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m training\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:32\u001b[0m\n\u001b[0;32m     30\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m input_spec\n\u001b[0;32m     31\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m node \u001b[39mas\u001b[39;00m node_module\n\u001b[1;32m---> 32\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m training \u001b[39mas\u001b[39;00m training_lib\n\u001b[0;32m     33\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mengine\u001b[39;00m \u001b[39mimport\u001b[39;00m training_utils\n\u001b[0;32m     34\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msaving\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msaved_model\u001b[39;00m \u001b[39mimport\u001b[39;00m network_serialization\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:44\u001b[0m\n\u001b[0;32m     42\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mframework\u001b[39;00m \u001b[39mimport\u001b[39;00m tensor_shape\n\u001b[0;32m     43\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m backend\n\u001b[1;32m---> 44\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m callbacks \u001b[39mas\u001b[39;00m callbacks_module\n\u001b[0;32m     45\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m optimizer_v1\n\u001b[0;32m     46\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mkeras\u001b[39;00m \u001b[39mimport\u001b[39;00m optimizers\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\tensorflow\\python\\keras\\callbacks.py:61\u001b[0m\n\u001b[0;32m     59\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mplatform\u001b[39;00m \u001b[39mimport\u001b[39;00m gfile\n\u001b[0;32m     60\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mplatform\u001b[39;00m \u001b[39mimport\u001b[39;00m tf_logging \u001b[39mas\u001b[39;00m logging\n\u001b[1;32m---> 61\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mprofiler\u001b[39;00m \u001b[39mimport\u001b[39;00m profiler_v2 \u001b[39mas\u001b[39;00m profiler\n\u001b[0;32m     62\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msaved_model\u001b[39;00m \u001b[39mimport\u001b[39;00m save_options \u001b[39mas\u001b[39;00m save_options_lib\n\u001b[0;32m     63\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutil\u001b[39;00m \u001b[39mimport\u001b[39;00m nest\n",
      "File \u001b[1;32m<frozen importlib._bootstrap>:1027\u001b[0m, in \u001b[0;36m_find_and_load\u001b[1;34m(name, import_)\u001b[0m\n",
      "File \u001b[1;32m<frozen importlib._bootstrap>:1006\u001b[0m, in \u001b[0;36m_find_and_load_unlocked\u001b[1;34m(name, import_)\u001b[0m\n",
      "File \u001b[1;32m<frozen importlib._bootstrap>:688\u001b[0m, in \u001b[0;36m_load_unlocked\u001b[1;34m(spec)\u001b[0m\n",
      "File \u001b[1;32m<frozen importlib._bootstrap_external>:879\u001b[0m, in \u001b[0;36mexec_module\u001b[1;34m(self, module)\u001b[0m\n",
      "File \u001b[1;32m<frozen importlib._bootstrap_external>:975\u001b[0m, in \u001b[0;36mget_code\u001b[1;34m(self, fullname)\u001b[0m\n",
      "File \u001b[1;32m<frozen importlib._bootstrap_external>:1074\u001b[0m, in \u001b[0;36mget_data\u001b[1;34m(self, path)\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "\n",
    "# Load and preprocess your data\n",
    "# Assuming you have your data in x_train and y_train variables\n",
    "\n",
    "# Define your model\n",
    "model = tf.keras.models.Sequential()\n",
    "# Add layers to your model\n",
    "input_dim = 1\n",
    "# Add layers to your model\n",
    "model.add(tf.keras.layers.Dense(64, activation='relu', input_shape=(input_dim,)))  # Example hidden layer\n",
    "model.add(tf.keras.layers.Dense(32, activation='relu'))  # Example hidden layer\n",
    "model.add(tf.keras.layers.Dense(1, activation='linear'))  # Example output layer\n",
    "\n",
    "\n",
    "# Compile the model\n",
    "model.compile(optimizer='adam', loss='mse')\n",
    "\n",
    "X_train = np.array(X_train)\n",
    "y_train = np.array(y_train)\n",
    "\n",
    "# Train the model with cross-validation and obtain the history\n",
    "history = model.fit(X_train, y_train, validation_split=0.2, epochs=10, batch_size=32)\n",
    "\n",
    "# Plot the cross-validation loss graph\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.title('Cross-Validation Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.show()\n",
    "\n",
    "# Plot the epoch loss graph\n",
    "plt.plot(history.history['loss'])\n",
    "plt.title('Epoch Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  }
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