[MRG] CLN Cleans up roc curve plotting #14723
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amueller
reviewed
Aug 22, 2019
| @@ -7,7 +7,7 @@ | |||
| class RocCurveDisplay: | |||
| """ROC Curve visualization. | |||
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| It is recommend to use `sklearn.metrics.plot_roc_curve` to create a | |||
| It is recommend to use :func:`~sklearn.metrics.plot_roc_curve` to create a | |||
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amueller
reviewed
Aug 22, 2019
glemaitre
approved these changes
Aug 23, 2019
sklearn/metrics/_plot/roc_curve.py
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| Target values. | ||
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| pos_label : int or str, default=None | ||
| The label of the positive class. | ||
| When `pos_label=None`, if y_true is in {-1, 1} or {0, 1}, | ||
| `pos_label` is set to 1, otherwise an error will be raised. | ||
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| sample_weight : array-like, shape (n_samples, ) or None, default=None | ||
| sample_weight : array-like of shape (n_samples, ), default=None |
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| sample_weight : array-like of shape (n_samples, ), default=None | |
| sample_weight : array-like of shape (n_samples,), default=None |
sklearn/metrics/_plot/roc_curve.py
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| Input values. | ||
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| y : array-like, shape (n_samples, ) | ||
| y : array-like of shape (n_samples, ) |
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Suggested change
| y : array-like of shape (n_samples, ) | |
| y : array-like of shape (n_samples,) |
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Thanks @thomasjpfan |
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