Welcome to the SHAP documentation
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations).
pip install shap or conda install -c conda-forge shap
- Tabular examples
- Text examples
- Image examples
- Genomic examples