MAINT coverage_error passes numpydoc validation (scikit-learn#24322)

Author: hristo-vrigazov

sklearn/metrics/_ranking.py

@@ -1147,13 +1147,13 @@ def coverage_error(y_true, y_score, *, sample_weight=None):
     Returns
     -------
     coverage_error : float
+        The coverage error.
 
     References
     ----------
     .. [1] Tsoumakas, G., Katakis, I., & Vlahavas, I. (2010).
            Mining multi-label data. In Data mining and knowledge discovery
            handbook (pp. 667-685). Springer US.
-
     """
     y_true = check_array(y_true, ensure_2d=True)
     y_score = check_array(y_score, ensure_2d=True)

sklearn/tests/test_docstrings.py

@@ -20,7 +20,6 @@
     "sklearn.manifold._t_sne.trustworthiness",
     "sklearn.metrics._plot.det_curve.plot_det_curve",
     "sklearn.metrics._plot.precision_recall_curve.plot_precision_recall_curve",
-    "sklearn.metrics._ranking.coverage_error",
     "sklearn.metrics._ranking.dcg_score",
     "sklearn.metrics._ranking.roc_curve",
     "sklearn.metrics._regression.mean_pinball_loss",