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My dataset has hourly data but there are a few timeslots missing. I am predicting number of people that leave a subway station and these stations can be closed during a few hours in the day. These rows do not show up in my original dataset. When I was using mlforecast this didn't give me any warnings but when I gave the dataset to TimeGPT I was prompted to use fill_gaps to make sure that there are no missing rows.
Use case
If there are gaps in the series the lag features aren't computed properly.
The text was updated successfully, but these errors were encountered:
Description
From #457:
Use case
If there are gaps in the series the lag features aren't computed properly.
The text was updated successfully, but these errors were encountered: