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

Installers

Info: This package contains files in non-standard labels.
  • linux-ppc64le v0.41.0
  • osx-arm64 v0.41.0
  • linux-64 v0.41.0
  • linux-aarch64 v0.41.0
  • osx-64 v0.41.0
  • win-64 v0.41.0

conda install

To install this package run one of the following:
conda install -c conda-forge shap
conda install -c "conda-forge/label/cf201901" shap
conda install -c "conda-forge/label/cf202003" shap

Description

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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