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When asking for an STL decomposition, it should always use an STL decomposition. The current behaviour of calling Friedman's SuperSmoother for non-seasonal data is incorrect and can cause confusion and inconsistencies with features.
This will require re-implementing STL, and while doing so it would be worthwhile to add support for exogenous regressors.
The text was updated successfully, but these errors were encountered:
When asking for an STL decomposition, it should always use an STL decomposition. The current behaviour of calling Friedman's SuperSmoother for non-seasonal data is incorrect and can cause confusion and inconsistencies with features.
This will require re-implementing STL, and while doing so it would be worthwhile to add support for exogenous regressors.
The text was updated successfully, but these errors were encountered: