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

boraxpr · web-flow · commit f5871a39f445 · 2022-05-20T17:53:12.000-04:00
diff --git a/sklearn/metrics/_ranking.py b/sklearn/metrics/_ranking.py
@@ -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
     --------
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -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",
