#计算机科学#A game theoretic approach to explain the output of any machine learning model.
#计算机科学#Shapley Interactions and Shapley Values for Machine Learning
#计算机科学#For calculating global feature importance using Shapley values.
#计算机科学#The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Explaining the output of machine learning models with more accurately estimated Shapley values
#计算机科学#Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Fast approximate Shapley values in R
#计算机科学#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 mode...
Amazon SageMaker Solution for explaining credit decisions.
A Julia package for interpretable machine learning with stochastic Shapley values
#计算机科学#streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
#计算机科学#An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
For calculating Shapley values via linear regression.
#计算机科学#A lightweight implementation of removal-based explanations for ML models.
#计算机科学#Counterfactual SHAP: a framework for counterfactual feature importance
Shapley Values with H2O AutoML Example (ML Interpretability)
