8000 DOC Ensures that sklearn.metrics._ranking.auc passes numpydoc validation by boraxpr · Pull Request #23433 · scikit-learn/scikit-learn · GitHub
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DOC Ensures that sklearn.metrics._ranking.auc passes numpydoc validation #23433

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Merged
merged 8 commits into from
May 20, 2022
Merged

DOC Ensures that sklearn.metrics._ranking.auc passes numpydoc validation #23433

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2638b1f
Remove img_to_graph from FUNCTION_DOCSTRING_IGNORE_LIST
boraxpr May 17, 2022
999961c
Fix SS03, PR09, RT01 at sklearn.feature_extraction.image.img_to_graph
boraxpr May 17, 2022
6cfd031
Apply suggestions from code review
boraxpr May 17, 2022
0b32ae5
Merge branch 'main' into main
boraxpr May 17, 2022
c59161f
Remove sklearn.metrics._ranking.auc from FUNCTION_DOCSTRING_IGNORE_LIST
boraxpr May 20, 2022
a568268
Merge branch 'main' of https://github.com/boraxpr/scikit-learn
boraxpr May 20, 2022
6b67c1c
Fix PR08,RT03 sklearn.metrics._ranking.auc
boraxpr May 20, 2022
3f49b31
Merge branch 'scikit-learn:main' into main
boraxpr May 20, 2022
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5 changes: 3 additions & 2 deletions sklearn/metrics/_ranking.py
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Expand Up @@ -55,14 +55,15 @@ def auc(x, y):
Parameters
----------
x : ndarray of shape (n,)
x coordinates. These must be either monotonic increasing or monotonic
X coordinates. These must be either monotonic increasing or monotonic
decreasing.
y : ndarray of shape, (n,)
y coordinates.
Y coordinates.

Returns
-------
auc : float
Area Under the Curve.

See Also
--------
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1 change: 0 additions & 1 deletion sklearn/tests/test_docstrings.py
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Expand Up @@ -41,7 +41,6 @@
"sklearn.metrics._classification.log_loss",
"sklearn.metrics._plot.det_curve.plot_det_curve",
"sklearn.metrics._plot.precision_recall_curve.plot_precision_recall_curve",
"sklearn.metrics._ranking.auc",
"sklearn.metrics._ranking.coverage_error",
"sklearn.metrics._ranking.dcg_score",
"sklearn.metrics._ranking.label_ranking_average_precision_score",
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