piwheels

boxhed-shap

A unified approach to explain the output of any machine learning model.

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install boxhed-shap

Dependencies

• tqdm
• pandas
• packaging
• numba
• cloudpickle
• scikit-learn
• slicer
• numpy
• scipy

Releases

Version	Released	Bullseye Python 3.9	Bookworm Python 3.11	Trixie Python 3.13	Files
1.0.1	2023-08-15
boxhed_shap-1.0.1-cp37-cp37m-linux_armv6l.whl (466 KB) boxhed_shap-1.0.1-cp37-cp37m-linux_armv7l.whl (466 KB) boxhed_shap-1.0.1-cp39-cp39-linux_armv6l.whl (505 KB) boxhed_shap-1.0.1-cp39-cp39-linux_armv7l.whl (505 KB) boxhed_shap-1.0.1-cp311-cp311-linux_armv6l.whl (504 KB) boxhed_shap-1.0.1-cp311-cp311-linux_armv7l.whl (504 KB) boxhed_shap-1.0.1-cp313-cp313-linux_armv6l.whl (512 KB) boxhed_shap-1.0.1-cp313-cp313-linux_armv7l.whl (512 KB)

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