DOC Ensures that mutual_info_score passes numpydoc validation (#24091)

Vincent-Maladiere · glemaitre · commit fa0ecd4a8e24 · 2022-08-05T14:58:55.000+02:00
diff --git a/sklearn/metrics/cluster/_supervised.py b/sklearn/metrics/cluster/_supervised.py
@@ -768,14 +768,14 @@ def mutual_info_score(labels_true, labels_pred, *, contingency=None):
        Mutual information, a non-negative value, measured in nats using the
        natural logarithm.
 
-    Notes
-    -----
-    The logarithm used is the natural logarithm (base-e).
-
     See Also
     --------
     adjusted_mutual_info_score : Adjusted against chance Mutual Information.
     normalized_mutual_info_score : Normalized Mutual Information.
+
+    Notes
+    -----
+    The logarithm used is the natural logarithm (base-e).
     """
     if contingency is None:
         labels_true, labels_pred = check_clusterings(labels_true, labels_pred)
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -39,7 +39,6 @@
     "sklearn.metrics.cluster._supervised.adjusted_rand_score",
     "sklearn.metrics.cluster._supervised.entropy",
     "sklearn.metrics.cluster._supervised.fowlkes_mallows_score",
-    "sklearn.metrics.cluster._supervised.mutual_info_score",
     "sklearn.metrics.cluster._supervised.normalized_mutual_info_score",
     "sklearn.metrics.cluster._supervised.pair_confusion_matrix",
     "sklearn.metrics.cluster._supervised.rand_score",
