DOC Ensures that sklearn.metrics._classification.log_loss passes numpydoc validation #23657
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Co-authored-by: Thomas J. Fan <[email protected]>
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Reversed the changes keeping the commit. Don't know if this is a good practise. |
jeremiedbb
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Jun 22, 2022
Not an issue in scikit-learn since we squash the commits before merging anyway |
ogrisel
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Jul 11, 2022
…ydoc validation (scikit-learn#23657) Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>
glemaitre
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Aug 4, 2022
…ydoc validation (scikit-learn#23657) Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>
glemaitre
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…ydoc validation (#23657) Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>
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Reference Issues/PRs
Adress #21350
What does this implement/fix? Explain your changes.
Make sure that the docstring passes the numpydoc test.
Any other comments?
To pass the test I had to add a description of the returned value of the log_loss function. I am not sure if my description, was the most appropriate one. If would by nice to check it. Thanks!