MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances (scikit-learn#26046)

Charlie-XIAO · jeremiedbb · Itay · commit 5569fe388dc8 · 2023-04-15T23:06:53.000+03:00
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
@@ -980,6 +980,12 @@ def manhattan_distances(X, Y=None, *, sum_over_features="deprecated"):
     return D.reshape((-1, X.shape[1]))
 
 
+@validate_params(
+    {
+        "X": ["array-like", "sparse matrix"],
+        "Y": ["array-like", "sparse matrix", None],
+    }
+)
 def cosine_distances(X, Y=None):
     """Compute cosine distance between samples in X and Y.
 
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
@@ -204,6 +204,7 @@ def _check_function_param_validation(
     "sklearn.metrics.mutual_info_score",
     "sklearn.metrics.ndcg_score",
     "sklearn.metrics.pairwise.additive_chi2_kernel",
+    "sklearn.metrics.pairwise.cosine_distances",
     "sklearn.metrics.pairwise.cosine_similarity",
     "sklearn.metrics.pairwise.haversine_distances",
     "sklearn.metrics.pairwise.laplacian_kernel",
