đ¤ Step 1: Train a Model
âšī¸ About PyInterpret
PyInterpret is a unified Python library for machine learning model interpretation. It provides a consistent API for popular explainability methods like SHAP, LIME, permutation importance, and partial dependence plots. This demo shows how you can use these methods to understand both individual predictions (local explanations) and overall model behavior (global explanations).
Local Explanations: Show why the model made a specific prediction
Global Explanations: Show which features are most important overall
SHAP: Game theory-based feature attributions
LIME: Local linear approximations of model behavior