How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
⬛ 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
moDel Agnostic Language for Exploration and eXplanation
The main features of modeloriented/dalex are: Explainable AI Libraries, Model Interpretation.
Open-source alternatives to modeloriented/dalex include: 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/anchor — Code for "High-Precision Model-Agnostic Explanations" paper.
