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Extracting time series components dataframe
Hello!
Is there any way to extract the dataframes containing the decomposition of the time series? That is, one column for the trend, another for the seasonality, etc.
Thanks
You can use the _params
attribute for a trained model which contains all the training related information. Specifically, to get the model coefficients related info, you can do something like this:
model._params['model'].summary()
Here, model represents a trained structural model object: luminaire.model.lad_structural.LADStructuralModel