SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.

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  • Released:
Newer release available (0.52.0)

3 maintainers

PyPI data
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Credits

Author: Scott Lundberg

License

MIT

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Release files for shap 0.28.0

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Source distribution (sdist)

Source distribution for shap 0.28.0
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shap-0.28.0.tar.gz 221.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for shap 0.28.0
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shap-0.28.0-cp36-cp36m-macosx_10_7_x86_64.whl 272.5 kB CPython 3.6 CPython 3.6 pymalloc macOS 10.7+ x86-64 Details

Total release size: 494.1 kB

Release files / shap-0.28.0.tar.gz

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Size 221.5 kB
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Release files / shap-0.28.0-cp36-cp36m-macosx_10_7_x86_64.whl

Download URL shap-0.28.0-cp36-cp36m-macosx_10_7_x86_64.whl
Size 272.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.7+ x86-64
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Pre-release

0.53.0rc0

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0.52.0

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0.51.0

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0.28.0 This release

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