MAINT Parameters validation for sklearn.metrics.adjusted_rand_score (#26134)

jiawei-zhang-a · jeremiedbb · web-flow · commit 3023f197f5b3 · 2023-04-12T13:20:30.000+02:00
Co-authored-by: Jérémie du Boisberranger &lt;34657725+jeremiedbb@users.noreply.github.com&gt;
diff --git a/sklearn/metrics/cluster/_supervised.py b/sklearn/metrics/cluster/_supervised.py
@@ -325,6 +325,12 @@ def rand_score(labels_true, labels_pred):
     return numerator / denominator
 
 
+@validate_params(
+    {
+        "labels_true": ["array-like"],
+        "labels_pred": ["array-like"],
+    }
+)
 def adjusted_rand_score(labels_true, labels_pred):
     """Rand index adjusted for chance.
 
@@ -352,10 +358,10 @@ def adjusted_rand_score(labels_true, labels_pred):
 
     Parameters
     ----------
-    labels_true : int array, shape = [n_samples]
+    labels_true : array-like of shape (n_samples,), dtype=int
         Ground truth class labels to be used as a reference.
 
-    labels_pred : array-like of shape (n_samples,)
+    labels_pred : array-like of shape (n_samples,), dtype=int
         Cluster labels to evaluate.
 
     Returns
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
@@ -209,6 +209,7 @@ def _check_function_param_validation(
     "sklearn.metrics.mutual_info_score",
     "sklearn.metrics.ndcg_score",
     "sklearn.metrics.pair_confusion_matrix",
+    "sklearn.metrics.adjusted_rand_score",
     "sklearn.metrics.pairwise.additive_chi2_kernel",
     "sklearn.metrics.pairwise.cosine_distances",
     "sklearn.metrics.pairwise.cosine_similarity",
