DOC Ensures that KernelDensity passes numpydoc validation (scikit-lea…

…rn#20806)
NeuroDataDesign · Aug 22, 2021 · c63b8d8 · c63b8d8
1 parent d488d73
commit c63b8d8
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diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py
@@ -39,7 +39,6 @@
     "KBinsDiscretizer",
     "KNNImputer",
     "KNeighborsTransformer",
-    "KernelDensity",
     "KernelPCA",
     "LabelBinarizer",
     "LabelPropagation",

diff --git a/sklearn/neighbors/_kde.py b/sklearn/neighbors/_kde.py
@@ -179,7 +179,7 @@ def fit(self, X, y=None, sample_weight=None):
         Returns
         -------
         self : object
-            Returns instance of object.
+            Returns the instance itself.
         """
         algorithm = self._choose_algorithm(self.algorithm, self.metric)
         X = self._validate_data(X, order="C", dtype=DTYPE)