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# generals
Slackbot
03/13/2023, 11:46 AMThis message was deleted.
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fede (nixtla) (they/them)
03/13/2023, 6:33 PMhey @Piotr Pomorski! Thanks for asking. What library are you referring to? :)
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Piotr Pomorski
03/13/2023, 9:45 PMah right, mlforecast
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fede (nixtla) (they/them)
03/15/2023, 10:40 PMhey @Piotr Pomorski! Currently, mlforecast doesn’t have a custom save and load behavior. Maybe you could try storing the fitted mlforecast class using pickle and after that call
predictnew_datam
Max (Nixtla)
03/17/2023, 6:39 PM@Piotr Pomorski, if you need that, we are happy to work on that.
Would you mind opening a request on our Github?
Max (Nixtla)
03/17/2023, 6:41 PM(BTW: thanks for your posts on Twitter)
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Piotr Pomorski
03/18/2023, 12:18 PMI actually just reused the optimised parameters and tested the performance by refitting the model with the same (optimised) parameters. However, I stumbled upon one problem with this. The PredictionIntervals seem to be recalibrating as well which I don't want to do on the test set. Is there a way to move them from training to test somehow? Or abandoning them completely and just using levels in predict as another hyperparameter would do?
Piotr Pomorski
03/18/2023, 12:18 PMNo problem, thanks for reading my tweets haha (if you are not following me yet, I cordially invite to do so!)
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