Closed almostintuitive closed 1 year ago
Came here to raise this exact issue. Here is a use case: I would like to obtain the results of the auto search (i.e. model_["arma"]
) once using a training set but keep these results constant during cross-validation with a validation/dev set since the search takes quite long time with longer time series. Although the effect is not as large, similar arguments could be made about the other auto-models. Alternatively, allow setting p, q, d, P, Q, D
to constant values or allow partial fit of the model without the search.
Description
We'd find it useful if we could:
and use your efficient implementation, instead of statsmodel's. We think this could be achieved by providing a simple ARIMA class that we can use to manual input parameters to the ARIMA model (we do understand that there's a function we could use, but it looks like the class interface is the canonical way to access it).
Thank you!
Use case
No response