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Merge pull request #35 from Morisset/devel
1.1.19 to master
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* Add a MonteCarlo_and_ANN notebook to show the use of Neural Network when a lot of data is used. | ||
* manage Poly and CatBoost as method for the getTemDen ANN | ||
* Some refactoring |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"2024-01-19 16:41:02.705960: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA\n", | ||
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", | ||
"/Users/christophemorisset/anaconda3/envs/ML/lib/python3.9/site-packages/xgboost/compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n", | ||
" from pandas import MultiIndex, Int64Index\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"import numpy as np\n", | ||
"import pyneb as pn" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# The pn.atomicData \n", | ||
"pn.atomicData." | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "ML", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.9.16" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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