10000 DOC Specify the meaning of scoring=None in sklearn.metrics.check_scoring by karen-pal · Pull Request #20367 · scikit-learn/scikit-learn · GitHub
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DOC Specify the meaning of scoring=None in sklearn.metrics.check_scoring #20367

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merged 3 commits into from
Jun 26, 2021
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DOC Specify the meaning of scoring=None in sklearn.metrics.check_scoring #20367

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Specify the meaning of scoring=None on check_scoring, of metrics._sco…
karen-pal Jun 26, 2021
3a5a9d5
Fix redaction of scoring=None description, to make it more explicit
karen-pal Jun 26, 2021
a31e783
Change formatting of scoring=None description
karen-pal Jun 26, 2021
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1 change: 1 addition & 0 deletions sklearn/metrics/_scorer.py
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Expand Up @@ -432,6 +432,7 @@ def check_scoring(estimator, scoring=None, *, allow_none=False):
A string (see model evaluation documentation) or
a scorer callable object / function with signature
``scorer(estimator, X, y)``.
If None, the provided estimator object's `score` method is used.

allow_none : bool, default=False
If no scoring is specified and the estimator has no score function, we
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