분석 Python/Packages
[Python] XAI 패키지 조사 해보기 (eXplainable AI)
데이터분석뉴비
2020. 9. 14. 10:02
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현재 찾아본 것은 다음과 같음.
추가적으로 있다면 알려주세요!
Python Packages (20.09.14)
pkg name | github | DeepLearning |
interpret | github.com/interpretml/interpret |
O? |
explainx | github.com/explainX/explainx | O?(not yet in tutorial)(20.09.14) |
XAI | github.com/EthicalML/xai | X |
SHAP | github.com/slundberg/shap | O |
LIME | github.com/marcotcr/lime | O |
CEML | github.com/andreArtelt/ceml | O |
DICE | github.com/interpretml/DiCE | O |
eli5 | eli5.readthedocs.io/en/latest/overview.html | O(Only Keras) |
mlxtend | rasbt.github.io/mlxtend/user_guide/feature_selection/SequentialFeatureSelector/ | X |
shapash | https://github.com/MAIF/shapash | X |
Books
- Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
Youtube
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