Classification, Catboost, Fastapi, Docker, Streamlit.
max_display=max_display, show=False) st.pyplot(fig) plt.close() def summary(model, data, X_train, X_test): # Calculate SHAP values explainer, shap_values_cat_train, shap_values_cat_test = calculate_shap(model, X_train, X_test) # Summarize and visualize SHAP values