MAINT: remove deprecated multi_class="multinomial" from LogisticRegression usage #1147
+1,122
−242
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
sachinn854
force-pushed
the
remove-multiclass-param
branch
from
8cfa07f to
7b7ef97
Compare
rasbt
approved these changes
Jan 8, 2026
mlxtend/feature_selection/tests/test_exhaustive_feature_selector.py
Outdated
Show resolved
Hide resolved
mlxtend/feature_selection/tests/test_sequential_feature_selector.py
Outdated
Show resolved
Hide resolved
Contributor
Author
|
Thanks for the review and merge 🙂 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR removes explicit
multi_class="multinomial"arguments fromLogisticRegression usage in examples / notebooks / tests.
In sklearn ≥ 1.5 the
multi_classparameter is deprecated and will beremoved in 1.7. The default behavior is now always
multinomial, soremoving this avoids FutureWarning while keeping identical behavior.
✓ verified on sklearn ≥ 1.6
✓ warnings disappear
✓ outputs unchanged
Note: usages with
multi_class="ovr"were intentionally left unchangedto avoid altering behavior.
Closes #1126