Shypd.aiThe largest open index of AI toolsshapiq is an open-source Python library for machine learning explainability, focusing on Shapley Interactions and Shapley Values. It helps researchers and end-users understand model predictions and feature interactions.
Trending
Also listed in
About
shapiq is a Python package designed for machine learning explainability, specifically focusing on Shapley Interactions and Shapley Values. It provides tools for approximating any-order Shapley interactions, benchmarking game-theoretical algorithms, and explaining feature interactions within model predictions. The library extends the functionality of the well-known SHAP package, offering a more comprehensive view of machine learning models by quantifying synergy effects between features, data points, or weak learners. It supports various interaction indices like k-SII, SV, FBII, and FSII, and includes functionalities for visualizing feature interactions through network plots. shapiq is intended for Python 3.12 and above, and can be installed via uv or pip.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
