shap

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Author: None
License: MIT License
Summary: A unified approach to explain the output of any machine learning model.
Latest version: 0.47.0
Required dependencies: cloudpickle | numba | numpy | packaging | pandas | scikit-learn | scipy | slicer | torch | tqdm | typing-extensions
Optional dependencies: catboost | datasets | gpboost | ipython | ipywidgets | jupyter | keras | lightgbm | lime | matplotlib | mypy | myst-parser | nbconvert | nbformat | nbsphinx | ngboost | nlp | numpy | numpydoc | opencv-python | protobuf | pyod | pyspark | pytest | pytest-cov | pytest-mpl | requests | sentencepiece | sphinx | sphinx_github_changelog | sphinx_rtd_theme | tensorflow | tf-keras | torchvision | transformers | xgboost

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