DOC Fixed sklearn.preprocessing._label.label_binarize docstring (#24002)

SabriDW · glemaitre · glemaitre · commit ba187d4decb3 · 2022-08-05T14:58:55.000+02:00
Co-authored-by: Guillaume Lemaitre &lt;g.lemaitre58@gmail.com&gt;
diff --git a/sklearn/preprocessing/_label.py b/sklearn/preprocessing/_label.py
@@ -447,6 +447,11 @@ def label_binarize(y, *, classes, neg_label=0, pos_label=1, sparse_output=False)
         Shape will be (n_samples, 1) for binary problems. Sparse matrix will
         be of CSR format.
 
+    See Also
+    --------
+    LabelBinarizer : Class used to wrap the functionality of label_binarize and
+        allow for fitting to classes independently of the transform operation.
+
     Examples
     --------
     >>> from sklearn.preprocessing import label_binarize
@@ -467,11 +472,6 @@ def label_binarize(y, *, classes, neg_label=0, pos_label=1, sparse_output=False)
            [0],
            [0],
            [1]])
-
-    See Also
-    --------
-    LabelBinarizer : Class used to wrap the functionality of label_binarize and
-        allow for fitting to classes independently of the transform operation.
     """
     if not isinstance(y, list):
         # XXX Workaround that will be removed when list of list format is
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -47,7 +47,6 @@
     "sklearn.metrics.pairwise.pairwise_distances_chunked",
     "sklearn.preprocessing._data.maxabs_scale",
     "sklearn.preprocessing._data.scale",
-    "sklearn.preprocessing._label.label_binarize",
     "sklearn.svm._bounds.l1_min_c",
     "sklearn.tree._export.plot_tree",
     "sklearn.utils.axis0_safe_slice",
