DOC Ensures that fetch_lfw_pairs passes numpydoc validation (#23655)

paulo-smcs · web-flow · commit 5f4f6289ccde · 2022-06-22T13:48:31.000+02:00
diff --git a/sklearn/datasets/_lfw.py b/sklearn/datasets/_lfw.py
@@ -464,7 +464,7 @@ def fetch_lfw_pairs(
     slice_ : tuple of slice, default=(slice(70, 195), slice(78, 172))
         Provide a custom 2D slice (height, width) to extract the
         'interesting' part of the jpeg files and avoid use statistical
-        correlation from the background
+        correlation from the background.
 
     download_if_missing : bool, default=True
         If False, raise a IOError if the data is not locally available
@@ -491,7 +491,6 @@ def fetch_lfw_pairs(
             The two label values being different persons or the same person.
         DESCR : str
             Description of the Labeled Faces in the Wild (LFW) dataset.
-
     """
     lfw_home, data_folder_path = _check_fetch_lfw(
         data_home=data_home, funneled=funneled, download_if_missing=download_if_missing
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -13,7 +13,6 @@
 
 FUNCTION_DOCSTRING_IGNORE_LIST = [
     "sklearn.datasets._kddcup99.fetch_kddcup99",
-    "sklearn.datasets._lfw.fetch_lfw_pairs",
     "sklearn.datasets._lfw.fetch_lfw_people",
     "sklearn.datasets._samples_generator.make_gaussian_quantiles",
     "sklearn.datasets._samples_generator.make_spd_matrix",
