Results for "shapley-interactions"

8 skills found

Shapley Interactions and Shapley Values for Machine Learning

Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021)

HyperSHAP is a holistic framework for explaining hyperparameter optimization based on Shapley values and interactions.

Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy

Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.

Pip package for amortized Shapley values and interactions in biological sequence models

Advanced Transformations and Interactions for Linear Models using Hybrid Machine Learning Models and SHapley Additive exPlanations

Code release for Faith-Shap: The Faithful Shapley Interaction Index.