I was using auto_timeseries model to find the best fit for my timeseries dataset. While doing predictions as below
predictions = model.predict( testdata = can be either a dataframe or an integer standing for the forecast_period, model = 'best' or any other string that stands for the trained model )
The parameter testdata only gives predictions for the datarange present in the test dataset, even on giving bigger integer value for testdata and in documentation its given as below.
testdata (required): It can be either a dataframe containing test data or you can use an integer standing for the forecast_period (you want).
So is it possible to get predictions for datarange greater than the daterange of test dataset in auto_timeseries model?
Thankyou!