DOC Ensure pairwise_distances_argmin passes numpydoc validation (#23951)

Mathews-Tom · jeremiedbb · glemaitre · commit eff31ab8909f · 2022-08-05T14:58:55.000+02:00
Co-authored-by: Jérémie du Boisberranger &lt;34657725+jeremiedbb@users.noreply.github.com&gt;
diff --git a/sklearn/metrics/pairwise.py b/sklearn/metrics/pairwise.py
@@ -765,8 +765,9 @@ def pairwise_distances_argmin(X, Y, *, axis=1, metric="euclidean", metric_kwargs
 
     See Also
     --------
-    sklearn.metrics.pairwise_distances
-    sklearn.metrics.pairwise_distances_argmin_min
+    pairwise_distances : Distances between every pair of samples of X and Y.
+    pairwise_distances_argmin_min : Same as `pairwise_distances_argmin` but also
+        returns the distances.
     """
     if metric_kwargs is None:
         metric_kwargs = {}
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -51,7 +51,6 @@
     "sklearn.metrics.pairwise.chi2_kernel",
     "sklearn.metrics.pairwise.distance_metrics",
     "sklearn.metrics.pairwise.kernel_metrics",
-    "sklearn.metrics.pairwise.pairwise_distances_argmin",
     "sklearn.metrics.pairwise.pairwise_distances_argmin_min",
     "sklearn.metrics.pairwise.pairwise_distances_chunked",
     "sklearn.metrics.pairwise.polynomial_kernel",
