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fit_data_scitype
Since RFE is Unsupervised the fallback for fit_data_scitype is wrong. We need something like:
Unsupervised
MMI.fit_data_scitype(::RecursiveFeatureElimination{M}) where M = Union{ Tuple{input_scitype(M), target_scitype(M)}, Tuple{input_scitype(M), target_scitype(M), AbstractVector{<:Real}, }
Sorry this is not documented in the MLJModelInterface docs, but I have opened an issue to correct this.
The text was updated successfully, but these errors were encountered:
Closing as working on a different resolution.
The problem is that you can't use RFE in a pipeline at the moment.
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OkonSamuel
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Since RFE is
Unsupervised
the fallback forfit_data_scitype
is wrong. We need something like:Sorry this is not documented in the MLJModelInterface docs, but I have opened an issue to correct this.
The text was updated successfully, but these errors were encountered: