PyConUS 2019 - Model Interpretability Tutorial

Content for the Model Interpretability Tutorial at Pycon US 2019

Setup instructions

With Anaconda:

conda install --file requirements.txt -c conda-forge

With pip:

pip install -r requirements.txt

jupyter notebook

Then use the __skeleton.ipynb files to work on the exercises, the __solution.ipynb contain solutions.

Open one of the notebooks below and click on OPEN IN PLAYGROUND to start your own version after logging in to Google Drive.

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
data		data
.gitignore		.gitignore
01-interpretability_eli5-skeleton.ipynb		01-interpretability_eli5-skeleton.ipynb
01-interpretability_eli5-solution.ipynb		01-interpretability_eli5-solution.ipynb
01_interpretability_eli5_solution.ipynb		01_interpretability_eli5_solution.ipynb
02-interpretability_LIME-skeleton.ipynb		02-interpretability_LIME-skeleton.ipynb
02-interpretability_LIME-solution.ipynb		02-interpretability_LIME-solution.ipynb
03-interpretability_SHAP-skeleton.ipynb		03-interpretability_SHAP-skeleton.ipynb
03-interpretability_SHAP-solution.ipynb		03-interpretability_SHAP-solution.ipynb
Machine_Learning_Example.ipynb		Machine_Learning_Example.ipynb
Model Interpretability.pdf		Model Interpretability.pdf
README.md		README.md
environment.yml		environment.yml
helpers.py		helpers.py
requirements.txt		requirements.txt
setup_colab.sh		setup_colab.sh