Classification, Catboost, Fastapi, Docker, Streamlit.
the input data in a formatted manner. For other options like “Feature Importance” and “User-based SHAP”, it generates visualizations to help users interpret the model’s behavior. You can run this code from the terminal in the folder with the file named streamlit-app.py as follows streamlit run