neural_prophet_5.py

nprophet_model = NeuralProphet()
metrics = nprophet_model.fit(df_train, freq="D")
future_df = nprophet_model.make_future_dataframe(df_train, 
                                                 periods = test_length, 
                                                 n_historic_predictions=len(df_train))
preds_df_2 = nprophet_model.predict(future_df)