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hey @Piotr Pomorski! Thanks for using mlforecast. The tutorial splits the time series into train and test sets to show the performance of the models. But if you want to actually predict the future, you can pass the entire dataset (without splitting it) and you will be able to get forecasts for the future.

but shouldn't then the prediction array be longer than the test set you pass? If you wanted to predict 48 horizon, you should get an entire test set + 48 additional rows, correct?