[MRG] Improve error message with implicit pos_label in _binary_clf_curve#15562
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ogrisel merged 10 commits intoscikit-learn:masterfrom Nov 20, 2019
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qinhanmin2014
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qinhanmin2014
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Thanks for your thoughtful reviews @qinhanmin2014 and @thomasjpfan. I think I have addressed your comments in my last push. |
| np.array_equal(classes, [1]))): | ||
| raise ValueError("Data is not binary and pos_label is not specified") | ||
| if (pos_label is None and ( | ||
| classes.dtype.kind in ('O', 'U', 'S') or |
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Are you sure that we should include O?
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I think so: object dtype is the default dtype used by pandas when parsing a CSV file with string columns that typically encode the target variable in a classification problem for instance.
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Merged! |
| classes_repr = ", ".join(repr(c) for c in classes) | ||
| raise ValueError("y_true takes value in {{{classes_repr}}} and " | ||
| "pos_label is not specified: either make y_true " | ||
| "take integer value in {{0, 1}} or {{-1, 1}} or " |
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This takes the good part of #15405 that was closed when we decided to drop the pos_label argument of plot_roc_curve.
However this improvement in the error message was still useful for other functions such as
precision_recall_curveas shown in the test.