Search Packages

xper

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

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.

mllm-shap

SHAP implementation for multimodal large language models supporting audio and text input.

pydvl

The Python Data Valuation Library

msapy

Multi-perturbation Shapley value Analysis (MSA)

shapley-value

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

shapley

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

datatypical

Scientific Data Significance Rankings with Shapley Explanations

svfl

A package for computing the average marginal contribution (Shapley Value) for each client in a Federated Learning environment

tucoopy

Cooperative game theory (TU) algorithms + animation spec generator