Comments (5)
Just out of curiosity, what would be the utility or applications for this feature be?
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running the preprocessing pipeline so you know what the input for your model looks like. Or get the feature names for the features that go into the model. I added two related issues.
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from enhancement_proposals.
Should we close this now that scikit-learn/scikit-learn#2568 is merged?
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yes.
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Related Issues (20)
- I still prefer advancement proposals ;) HOT 4
- SLEP needed: fit_transform does something other than fit(X).transform(X) HOT 8
- SLEP needed: freezing estimators
- Augment template HOT 3
- Scorers might need to know about training and testing data HOT 5
- SLEP007: Meta-estimators section expansion HOT 1
- SLEP 007 feature-name generation: adding a constructor argument for verbosity HOT 23
- SLEP 001: why do we need trans_modify? HOT 2
- SLEP012 input_feature_names_ HOT 4
- SLEPs in draft missing from index.rst
- CI: check the docs build without warning
- Questions and comments about SLEP006 -- Sample props HOT 1
- Questions and comments about SLEP006 -- Sample props HOT 5
- SLEP needed: warm starting with Pipelines, and safer warm starting HOT 2
- Mark implemented SLEPS HOT 3
- SLEP006 (sample props) should handle when metaestimator consumes the same key as its descendant HOT 4
- Rename repository to slep for nicer url HOT 12
- Update of SLEP002 HOT 2
- Shall we rename the default branch here? HOT 4
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