Make best fitted ARIMA an output of AutoARIMA about statsforecast HOT 2 OPEN

Hey @RickoClausen, thanks for using statsforecast. If you use fit then the trained models are stored in the fitted_ attribute. The p, d, q, P, D, Q, m parameters can be retrieved with the following:

sf = StatsForecast(...)
sf.fit(...)
params = [
    [m.model_["arma"][i] for i in [0, 5, 1, 2, 6, 3, 4]]
    for m in sf.fitted_[:, 0]  # assuming AutoARIMA is the first model in the list
] 

This will create a list where each element is a list with the optimal parameters for that serie.

from statsforecast.

Thanks. :)
However I still think it would make sense to have a property of the Auto classes, which can return the best-fitted non-auto version of the model, entire model class instance, instead of just the parameters.

from statsforecast.