Shapley Value Python Packages

xper

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

nlp-shap

mllm-shap: Shapley-value explainability for conversational and multimodal language models.

dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

datatypical

Scientific Data Significance Rankings with Shapley Explanations

shapley

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

pydvl

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

mllm-shap

mllm-shap: Shapley-value explainability for conversational and multimodal language models.

msapy

Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).

shapley-value

A comprehensive Python package for calculating Shapley values in cooperative game theory.

shapley-value-regression

A Python implementation of Shapley Value Regression to calculate the precise feature importance and marginal contributions of independent variables in regression models.

svfl

A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.

tucoopy

Python library for TU cooperative game theory: Shapley, Banzhaf, core, nucleolus, kernel, Weber set, and geometric tools for visualization.