Finally, there is a new model class ARIMA, which is meant to (eventually) be a single point of entry for all ARIMA-type models (including SARIMAX models). It is a subclass of statespace.SARIMAX but allows fitting using any of the estimators above.
And imo ARIMA could be more performant than SARIMAX because the different methods (estimators) provided in ARIMA.fit() could potentially speed up the fit process (see the inline comment in statsmodels.tsa.arima.model.ARIMA).
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Hi, may I ask is there any reason that
statsmodels.tsa.arima.model.ARIMA
is not supported in pmdarima?This post from statsmodels mentioned that:
And imo
ARIMA
could be more performant thanSARIMAX
because the different methods (estimators) provided inARIMA.fit()
could potentially speed up the fit process (see the inline comment instatsmodels.tsa.arima.model.ARIMA
).Reference of
ARIMA
's fit method: https://www.statsmodels.org/devel/generated/statsmodels.tsa.arima.model.ARIMA.fit.html#statsmodels.tsa.arima.model.ARIMA.fitSo would you consider adding / replacing the current implementation with
statsmodels.tsa.arima.model.ARIMA
?Please let me know if you have a different opinion.
Thanks!
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