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# PyconUS_2019-model-interpretability-tutorial | ||
# PyConUS 2019 - Model Interpretability Tutorial | ||
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Content for the Model Interpretability Tutorial at Pycon US 2019 | ||
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## Setup instructions | ||
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With Anaconda: | ||
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``` | ||
conda install --file requirements.txt -c conda-forge | ||
``` | ||
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With pip: | ||
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``` | ||
pip install -r requirements.txt | ||
``` | ||
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## Running | ||
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``` | ||
jupyter notebook | ||
``` | ||
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Then use the `__skeleton.ipynb` files to work on the exercises, the `__solution.ipynb` contain solutions. |
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numpy==1.16.1 | ||
pandas==0.24.2 | ||
shap==0.28.5 | ||
lime==0.1.1.33 | ||
scikit-image==0.15 | ||
eli5==0.8.1 | ||
scikit-learn==0.20.3 | ||
lightgbm==2.2.2 | ||
keras==2.2.4 | ||
matplotlib==3.0.2 |