Search Packages

shap

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

shapiq

Shapley Interactions and Shapley Values for Machine Learning

sage-importance

For calculating global feature importance using Shapley values.

acv-dev

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

acv-exp

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

shaperone

Shaperone is a fork of the SHAP library, fixing open issues to improve usability.

shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

mta

Multi-Touch Attribution

shaprpy

Explaining the output of machine learning models with more accurately estimated Shapley values

acvt45

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

lightshap

Lightweight Python implementation of SHAP

insurance-sensitivity

Global sensitivity analysis for insurance pricing models — variance decomposition via Shapley effects

shap2

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

shapley-regression

For calculating Shapley values via linear regression.

shap-legacy

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

pou-shap

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