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DOC Ensures that precision_recall_fscore_support passes numpydoc validation #22472

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Merged
merged 4 commits into from
Feb 16, 2022

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GauravChoudhay
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Reference Issues/PRs

 Address #21350

What does this implement/fix? Explain your changes.

  • Wrote missing return of precision, recall, and fscore in precision_recall_fscore_support function.
  • Verify that all the test passes after fixing the issues.
  • remove the function from FUNCTION_DOCSTRING_IGNORE_LIST.

Any other comments?

My first PR :). looking forward to contribute more

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@glemaitre glemaitre left a comment

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Just a couple of comments to clarify the docstring.

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@glemaitre glemaitre left a comment

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LGTM

@glemaitre glemaitre merged commit 73e605a into scikit-learn:main Feb 16, 2022
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Thanks @GauravChoudhay merging then.

@GauravChoudhay
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Thank you @glemaitre . one more question sir, would i work on documentation more or can i go with code.. and any issue u can recommend me to work on will be great help

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It is difficult to recommend you a specific issue because it will depend on your background.
Maybe an easier issue that does not necessarily require a lot of statistical understanding and more some programming skill is the following: #22482

Basically, you should check the deprecation documentation: https://scikit-learn.org/stable/developers/contributing.html#deprecation and other PR that do such changes.

Then, if you background is more statistical then you can check any issue that is linked to a bug that require some digging to understand where the problem is coming from.

thomasjpfan pushed a commit to thomasjpfan/scikit-learn that referenced this pull request Mar 1, 2022
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3 participants