scikit-learn
diff --git a/‎sklearn/metrics/_classification.py
Copy file name to clipboardExpand all lines: sklearn/metrics/_classification.py
+17Lines changed: 17 additions & 0 deletions b/‎sklearn/metrics/_classification.py
Copy file name to clipboardExpand all lines: sklearn/metrics/_classification.py
+17Lines changed: 17 additions & 0 deletions
diff --git a/‎sklearn/tests/test_public_functions.py
Copy file name to clipboardExpand all lines: sklearn/tests/test_public_functions.py
+1Lines changed: 1 addition & 0 deletions b/‎sklearn/tests/test_public_functions.py
Copy file name to clipboardExpand all lines: sklearn/tests/test_public_functions.py
+1Lines changed: 1 addition & 0 deletions
@@ -697,6 +697,23 @@ class labels [2]_.
     return 1 - k
 
 
+@validate_params(
+    {
+        "y_true": ["array-like", "sparse matrix"],
+        "y_pred": ["array-like", "sparse matrix"],
+        "labels": ["array-like", None],
+        "pos_label": [Real, str, "boolean", None],
+        "average": [
+            StrOptions({"micro", "macro", "samples", "weighted", "binary"}),
+            None,
+        ],
+        "sample_weight": ["array-like", None],
+        "zero_division": [
+            Options(Real, {0, 1}),
+            StrOptions({"warn"}),
+        ],
+    }
+)
 def jaccard_score(
     y_true,
     y_pred,
 
@@ -123,6 +123,7 @@ def _check_function_param_validation(
     "sklearn.metrics.det_curve",
     "sklearn.metrics.f1_score",
     "sklearn.metrics.hamming_loss",
+    "sklearn.metrics.jaccard_score",
     "sklearn.metrics.log_loss",
     "sklearn.metrics.max_error",
     "sklearn.metrics.mean_absolute_error",