Hello all! I've got a question: is it possible to add future regressors to an AutoARIMAProphet model? Do I need to add them in the arima model? Or do I just need to change the disable_seasonal_features from

True

to

False

?

hey @Darius Marginean! Yes, that’s possible. You have to “register” the external regressor as in prophet

model = AutoARIMAProphet()
# "register" the external regressor
model.add_regressor('my_external_regressor')

# train df should have the external regressor
train_df = Y_df[['ds', 'y', 'my_external_regressor']]

# train the model
model.fit(train_df)

# create future dataframe
future_df = model.make_future_dataframe(7, freq='M')

# future_df only contains the ds column, you have to add 
# the external regressor
future_df['my_external_regressor'] = ...

model.predict(future_df)