Classification, Catboost, Fastapi, Docker, Streamlit.
to the model MODEL_PATH = "../model/cat_model.cbm" # Function to load the trained model def load_model(): model = CatBoostClassifier() model.load_model(MODEL_PATH) return model # Function to predict churn probability from data in DataFrame format def get_churn_probability(data, model): # Convert