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hi @Ginger Holt! The problem probably arises from the update of the models that we made from version 1.0.0. Before that version, the models followed a functional paradigm. The most recent version uses classes with

fit

and

predict

methods (like sklearn). So, to import naive the new line would be:

from statsforecast.models import Naive

The list of current models can be found here: https://nixtla.github.io/statsforecast/models.html Did the error arise in any of the examples? We are updating them to consider the new version. :)

Thanks for the quick response and detailed explanation! I was trying to reproduce the example in https://github.com/Nixtla/hierarchicalforecast/blob/41840924e1966704a4bed323e7e917862248c27c/examples/TourismSmall.ipynb when I got the error. There was also an issue with importing auto_arima.

from statsforecast.models import auto_arima, naive

I see, the new version of that notebook can be found here: https://github.com/Nixtla/hierarchicalforecast/blob/main/nbs/examples/TourismSmall.ipynb. It works with the latest version of statsforecast

Thank you @fede (nixtla) (they/them)!