Comments (1)
jmoralez
commented on June 12, 2024
Hey @quant5, thanks for the proposal. I've been meaning to do this, I think the first place would be to add a fitted argument to the models' fit method, because we currently set it internally to handle the case when the user calls predict_in_sample afterwards, except for models that are too expensive, so we end up with a mix:
statsforecast/statsforecast/models.py
Line 4143 in e46ece9
statsforecast/statsforecast/models.py
Line 4350 in e46ece9
statsforecast/statsforecast/models.py
Line 4525 in e46ece9
statsforecast/statsforecast/models.py
Line 4722 in e46ece9
Once the models have that argument we could pass it through from StatsForecast.fit and then the forecast_fitted_values would retrieve them.
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