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Hi @Silas Klug! You still need to pass the

y

because this is the target variable you are training to predict. Can you give us more information of your use case?

Hi Cristian, thanks for the quick response 🙂 I'm using y for training, but I want to leave it out during prediction. Ultimately, I want to predict (nowcast) a variable y based on some other variables X (and their past values). In the first step I want to be sure, y is really not used for prediction.

Got it, yes you are refering to the predict method. I will check what is happening, the values of

y

should not affect the outcome

Hi @Cristian (Nixtla), do you already have an idea what could be the issue?

@José Morales can you check this please?

Hey @Silas Klug, this seems to be an issue with the scaling. If you remove the scaling you'll get the same predictions by passing y as zeros or the original values. I'll investigate it further