Hi everyone, Is there any way to get fitted values in statsforecast spark pipeline (FugueBackend), right now there are only two functions forecast and cross_validation_fitted_values

have you tried calling

cross_validate(fitted=True)

, then

cross_validation_fitted_values()

?

Hi Sam, But there is no function cross_validate for spark FugueBackend, may you please share some snippet

Ah my apologies - wasn't aware of that

Thanks @Nitin Kandpal, currently the dist engines don't support returning the fitted values. If that is something you need, we could definitely work on it. It that is the case, could you open a GitHub issue here.

Hi @Max (Nixtla), Thank you for your reply. There is already a ticket for this request : https://github.com/Nixtla/statsforecast/issues/382

Thanks! You are right.

Hi @Max (Nixtla), in the mean time is there any other way I can get the fitted value while I am using spark dataframes (distributed environment)

hey @Nitin Kandpal! An alternative would be to modify by hand the

FugueBanckend

class to return the fitted values (https://github.com/Nixtla/statsforecast/blob/main/statsforecast/distributed/fugue.py#L47).

i think maybe we can add that