Hi team, I noticed MLforecast allows you to create new forecasts using existing models through the new_df argument. I was wondering, does something similar exist for statsforecasts ? I want to load and update existing statsforecast models without having to re-fit them, is this possible ?

Hey. Some models define the forward method which does this, but there's nothing in the StatsForecast class at the moment that can take that new dataframe and call the forward methods of each model

Sounds good, thank you !