Autoets forecast Feature suggestions about statsforecast HOT 2 CLOSED

Hey. When you call the fit method the models are stored in the fitted_ attribute, which is an array of shape (n_series, n_models). So for example you can get the model that was trained with the following:

from statsforecast import StatsForecast
from statsforecast.models import AutoETS
from statsforecast.utils import generate_series

series = generate_series(5, freq='M')
sf = StatsForecast(
    models=[AutoETS(season_length=12)],
    freq='M',
)
sf.fit(series)
fitted_ets = sf.fitted_[:, 0]  # first column here since it's the first model in the models list
model_by_id = {uid: m.model_['method'] for uid, m in zip(sf.uids, fitted_ets)}

from statsforecast.

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from statsforecast.