[MRG] BUG Remove pos_label in plot_roc_auc_curve #15555
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amueller
reviewed
Nov 6, 2019
amueller
reviewed
Nov 6, 2019
sklearn/metrics/_plot/roc_curve.py
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| if is_classifier(estimator): | ||
| if len(estimator.classes_) != 2: | ||
| raise ValueError(classificaiton_error) |
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Suggested change
| raise ValueError(classificaiton_error) | |
| raise ValueError(classification_error) |
amueller
reviewed
Nov 6, 2019
amueller
approved these changes
Nov 7, 2019
qinhanmin2014
approved these changes
Nov 7, 2019
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@qinhanmin2014's PR #15316 also had additional tests for |
def test_plot_roc_curve_pos_label(pyplot, data_binary):
X, y = data_binary
y = np.array(["neg", "pos"])[y]
lr = LogisticRegression()
lr.fit(X, y)
y_pred = lr.predict_proba(X)[:, 1]
viz = plot_roc_curve(lr, X, y)
assert_allclose(viz.roc_auc, roc_auc_score(y, y_pred))
def test_plot_roc_curve_pos_label_non_standard_integers(pyplot, data_binary):
X, y = data_binary
y = np.array([1, 2])[y]
lr = LogisticRegression()
lr.fit(X, y)
y_pred = lr.predict_proba(X)[:, 1]
viz = plot_roc_curve(lr, X, y)
assert_allclose(viz.roc_auc, roc_auc_score(y, y_pred)) |
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I'll open a PR but I guess that's not so important. |
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@ogrisel Thomas already updates |
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Reference Issues/PRs
Resolves #15405
Alternative to #15316
Alternative to #15405
What does this implement/fix? Explain your changes.
Remove
pos_labelfromplot_roc_auc_curveand always infer from the estimator.Any other comments?
Three PRs one issue :/
CC @amueller