DOC Ensures that load_diabetes passes numpydoc validation (scikit-learn#21526)

Author: spikebh

maint_tools/test_docstrings.py

@@ -31,7 +31,6 @@
     "sklearn.datasets._base.get_data_home",
     "sklearn.datasets._base.load_boston",
     "sklearn.datasets._base.load_breast_cancer",
-    "sklearn.datasets._base.load_diabetes",
     "sklearn.datasets._base.load_digits",
     "sklearn.datasets._base.load_files",
     "sklearn.datasets._base.load_iris",

sklearn/datasets/_base.py

@@ -928,7 +928,7 @@ def load_diabetes(*, return_X_y=False, as_frame=False):
 
     Parameters
     ----------
-    return_X_y : bool, default=False.
+    return_X_y : bool, default=False
         If True, returns ``(data, target)`` instead of a Bunch object.
         See below for more information about the `data` and `target` object.
 
@@ -969,7 +969,9 @@ def load_diabetes(*, return_X_y=False, as_frame=False):
             The path to the location of the target.
 
     (data, target) : tuple if ``return_X_y`` is True
-
+        Returns a tuple of two ndarray of shape (n_samples, n_features)
+        A 2D array with each row representing one sample and each column
+        representing the features and/or target of a given sample.
         .. versionadded:: 0.18
     """
     data_filename = "diabetes_data.csv.gz"