Classification, Catboost, Fastapi, Docker, Streamlit.
shap_values_cat_train, shap_values_cat_test, customer_id, X_test, X_train) # Waterfall customer_index = X_test[X_test['customerID'] == customer_id].index[0] display_shap_waterfall_plot(explainer, explainer.expected_value, shap_values_cat_test[customer_index], feature_names=X_test.columns,