#21350 - fix make_multilabel_classification docstring#22782
Merged
GaelVaroquaux merged 2 commits intoscikit-learn:mainfrom Mar 13, 2022
Merged
Conversation
GaelVaroquaux
approved these changes
Mar 12, 2022
Member
GaelVaroquaux
left a comment
There was a problem hiding this comment.
LGTM.
As these changes are documentation only, I will merge once tests are green (I'll fix the conflicts).
Member
|
I resolved the conflict |
Contributor
|
Adding the #pariswimlds hashtag :-) |
glemaitre
pushed a commit
to glemaitre/scikit-learn
that referenced
this pull request
Apr 6, 2022
…n doctring (scikit-learn#22782) Co-authored-by: Gael Varoquaux <gael.varoquaux@normalesup.org>
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Reference Issues/PRs
Part of the issue #21350.
What does this implement/fix? Explain your changes.
Correct two typos of the doctring to pass numpydoc requirements for multilabel_classification sample generator.
Any other comments?
Test can be run thanks to:
Thanks #WiMLDS