I have a time series dataset that has a max ceiling of 50 and a lower threshold of 0, however when using probabilistic time series modeling like GluonTS I am getting future predictions that are either above 50 or in the minus which is throwing off any real predictions.

How should I proceed to preprocess the data (if GluonTS accepts this)? Or how can I fix the issue? What current methods yield the best results?



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