interpret and interpret-community
The Interpret Community library extends the Interpret repository with additional interpretability techniques and utilities, making them complementary tools that can be used together to enhance real-world dataset analysis.
About interpret
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
Combines glassbox models (EBM, decision trees, linear models) with post-hoc explainers (SHAP, LIME, partial dependence) in a unified API. Features Explainable Boosting Machines that match state-of-the-art blackbox performance while remaining fully interpretable with automatic interaction detection and differential privacy support. Integrates with scikit-learn ecosystems and provides Plotly/Dash-based dashboards for both global and local explanations across multiple models.
About interpret-community
interpretml/interpret-community
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
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