scikit-learn
diff --git a/‎sklearn/datasets/_samples_generator.py
Copy file name to clipboardExpand all lines: sklearn/datasets/_samples_generator.py
+7Lines changed: 7 additions & 0 deletions b/‎sklearn/datasets/_samples_generator.py
Copy file name to clipboardExpand all lines: sklearn/datasets/_samples_generator.py
+7Lines changed: 7 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
@@ -1700,6 +1700,13 @@ def make_swiss_roll(n_samples=100, *, noise=0.0, random_state=None, hole=False):
     return X, t
 
 
+@validate_params(
+    {
+        "n_samples": [Interval(Integral, 1, None, closed="left")],
+        "noise": [Interval(Real, 0, None, closed="left")],
+        "random_state": ["random_state"],
+    }
+)
 def make_s_curve(n_samples=100, *, noise=0.0, random_state=None):
     """Generate an S curve dataset.
 
 
@@ -142,6 +142,7 @@ def _check_function_param_validation(
     "sklearn.datasets.make_moons",
     "sklearn.datasets.make_multilabel_classification",
     "sklearn.datasets.make_regression",
+    "sklearn.datasets.make_s_curve",
     "sklearn.datasets.make_sparse_coded_signal",
     "sklearn.datasets.make_sparse_spd_matrix",
     "sklearn.datasets.make_sparse_uncorrelated",