SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

scikit-learn compatible tools for building credit risk acceptance models

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Data augmentation for NLP

CLI tool to simplify the development workflow on azure devops