How to identify the best fitted parameters and events coefficients?

[NisarAhamad]

I have trained a model, wanted to know best fitted parameters and coefficients of each holiday events.

It was there in the prophet library:

from fbprophet.utilities import regressor_coefficients
regressor_coefficients(best_model)

Let me know is there any alternatives for this

My code is given below:

step_num = len(test_df)-7
model = NeuralProphet(growth='linear',
                      weekly_seasonality=True,
                      yearly_seasonality=True,
                      daily_seasonality=False,
                      num_hidden_layers=4,
                    #   learning_rate=0.0001,
                      loss_func='MAE',
                      epochs=40,
                      n_lags=7,
                      n_forecasts=step_num,       # This should be equal to len(test_data)-n_lags
                      batch_size=60
                      )
model = model.add_country_holidays(country_name='US', lower_window=-1, upper_window=0)
metrics = model.fit(df = train_df, validation_df=test_df, progress='plot')

future = model.make_future_dataframe(df=test_df, 
                                         n_historic_predictions = step_num
                                     )
forecast = model.predict(future)

Thanks in advance

[NisarAhamad]

@ourownstory , Do we have any suggestions for this please!