⬛ Python Individual Conditional Expectation Plot Toolbox
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Interpretability and explainability of data and machine learning models
Code for "High-Precision Model-Agnostic Explanations" paper
الميزات الرئيسية لـ marcotcr/anchor هي: Explainable AI Libraries, Model Interpretation.
تشمل البدائل مفتوحة المصدر لـ marcotcr/anchor: ibm/aix360 — Interpretability and explainability of data and machine learning models. interpretml/interpret — Interpret is an interpretable machine learning library and glassbox model framework. It provides toolkits for training… austinrochford/pycebox — ⬛ Python Individual Conditional Expectation Plot Toolbox. benedekrozemberczki/shapley — The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021). andosa/treeinterpreter — TreeInterpreter. marcotcr/lime — This project is an agnostic model interpretability framework and explainability tool designed to provide local…
