ENH Add warning when only one label found in confusion_matrix
#27650
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glemaitre
reviewed
Oct 30, 2023
sklearn/metrics/_classification.py
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| if cm.shape == (1, 1): | ||
| warnings.warn( | ||
| ( | ||
| "Only one label was found in 'y_true' and 'y_pred', use the 'labels' " |
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Suggested change
| "Only one label was found in 'y_true' and 'y_pred', use the 'labels' " | |
| "A single label is found in 'y_true' and 'y_pred', use the 'labels' " |
glemaitre
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Oct 30, 2023
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Could you also add an entry in the changelog and a non-regression test?
Per the discussion, the resolution is fine to me.
Thanks @lucyleeow
confusion_matrixconfusion_matrix
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|
Done thank you @glemaitre ! |
OmarManzoor
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Nov 3, 2023
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LGTM. Thanks @lucyleeow
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Reference Issues/PRs
fixes #19756
What does this implement/fix? Explain your changes.
Add warning when only one label found in
confusion_matrixand advise user to pass all labels vialabelsparameter.