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Hey. Can you describe what that would look like for a single serie? From what I can tell the nested cross validation creates folds from the same samples using a different permutation, how would that work for time series?
Description
Currently mlforecast supports the standard cross-validation. It would be nice to have also a nested cross-validation.
Use case
No response
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