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WIP: use get_feature_names_out from new sklearn if possible #77

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WIP: use get_feature_names_out from new sklearn if possible #77

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agramfort
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follow up on https://mne.discourse.group/t/future-warning-in-feature-extraction/4631/1

just to start the ball rolling here...

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codecov bot commented Mar 27, 2022 •
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Codecov Report

Merging #77 (7abf7b4) into master (399092a) will decrease coverage by 0.05%.
The diff coverage is 80.00%.

@@            Coverage Diff             @@
##           master      #77      +/-   ##
==========================================
- Coverage   93.53%   93.48%   -0.06%     
==========================================
  Files          10       10              
  Lines        1455     1459       +4     
==========================================
+ Hits         1361     1364       +3     
- Misses         94       95       +1
Impacted Files Coverage Δ
mne_features/feature_extraction.py 94.73% <80.00%> (-0.54%) ⬇️

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etiennedemontalivet
etiennedemontalivet reviewed Jan 26, 2023
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mne_features/feature_extraction.py
@@ -219,7 +223,10 @@ def _apply_extractor(extractor, X, ch_names, return_as_df):
X = extractor.fit_transform(X)
feature_names = None
if return_as_df:
feature_names = extractor.get_feature_names()
if hasattr(extractor, 'get_feature_names_out'):
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Maybe changing the 4 lines with just:
feature_names = extractor.get_feature_names_out()
will increase code coverage ? (if this is the issue why not merging the PR)

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etiennedemontalivet commented Jan 26, 2023 •
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Is there any plan to merge this pull request ?
Since sklearn 1.2.1, they removed get_feature_names from FeatureUnion, so now it raises an error when using extract_features with return_as_df=True. Please tell me if I can help

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@agramfort @etiennedemontalivet