DOC Ensures that linkage_tree passes numpydoc validation (scikit-lear…

…n#21424) * DOC numpydoc removed linkage_tree from FUNCTION_DOCSTRING_IGNORE_LIST * DOC numpydoc fixed linkage_tree func docstring
norbusan · Oct 23, 2021 · e4a0bfc · e4a0bfc
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diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py
@@ -22,7 +22,6 @@
     "sklearn._config.get_config",
     "sklearn.base.clone",
     "sklearn.cluster._affinity_propagation.affinity_propagation",
-    "sklearn.cluster._agglomerative.linkage_tree",
     "sklearn.cluster._kmeans.k_means",
     "sklearn.cluster._kmeans.kmeans_plusplus",
     "sklearn.cluster._mean_shift.estimate_bandwidth",

diff --git a/sklearn/cluster/_agglomerative.py b/sklearn/cluster/_agglomerative.py
@@ -429,11 +429,11 @@ def linkage_tree(
               observations of the two sets.
 
     affinity : str or callable, default='euclidean'
-        which metric to use. Can be 'euclidean', 'manhattan', or any
+        Which metric to use. Can be 'euclidean', 'manhattan', or any
         distance known to paired distance (see metric.pairwise).
 
     return_distance : bool, default=False
-        whether or not to return the distances between the clusters.
+        Whether or not to return the distances between the clusters.
 
     Returns
     -------