Data Science, Time Series Analysis, Machine Learning, Automl, Forecasting.
model.make_future_dataframe(periods=len(test_df), freq='D') forecast = model.predict(future) # Categorize forecasted daily values into quartiles based on the thresholds forecast['quartile'] = pd.cut(forecast['yhat'], bins = [-np.inf] + list(quartiles) + [np.inf], labels=[1, 2, 3, 4]) # Extract the