Shapley Python 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.

streamlit-shap

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

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.

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.

mta

Multi-Touch Attribution

shaperone

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

pyshapr

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

shaprpy

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

shapley

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

lightshap

A lightweight SHAP library

shap-gpu

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

insurance-sensitivity

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

acvt45

ACV is a library that provides robust and accurate explanations for machine learning models

shapley-regression

For calculating Shapley values via linear regression.

shap2

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.

shap-legacy

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