Classification, Catboost, Fastapi, Docker, Streamlit.
customer customer_index = X_test[X_test['customerID'] == customer_id].index[0] fig, ax_2 = plt.subplots(figsize=(6,6), dpi=200) shap.decision_plot(explainer.expected_value, shap_values_cat_test[customer_index], X_test[X_test['customerID'] == customer_id], link="logit") st.pyplot(fig) plt.close()