scikit-learn
diff --git a/‎sklearn/feature_selection/_univariate_selection.py
Copy file name to clipboardExpand all lines: sklearn/feature_selection/_univariate_selection.py
+8Lines changed: 8 additions & 0 deletions b/‎sklearn/feature_selection/_univariate_selection.py
Copy file name to clipboardExpand all lines: sklearn/feature_selection/_univariate_selection.py
+8Lines changed: 8 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
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+1Lines changed: 1 addition & 0 deletions
@@ -334,6 +334,14 @@ def r_regression(X, y, *, center=True, force_finite=True):
     return correlation_coefficient
 
 
+@validate_params(
+    {
+        "X": ["array-like", "sparse matrix"],
+        "y": ["array-like"],
+        "center": ["boolean"],
+        "force_finite": ["boolean"],
+    }
+)
 def f_regression(X, y, *, center=True, force_finite=True):
     """Univariate linear regression tests returning F-statistic and p-values.
 
 
@@ -115,6 +115,7 @@ def _check_function_param_validation(
     "sklearn.feature_extraction.image.reconstruct_from_patches_2d",
     "sklearn.feature_selection.chi2",
     "sklearn.feature_selection.f_classif",
+    "sklearn.feature_selection.f_regression",
     "sklearn.metrics.accuracy_score",
     "sklearn.metrics.auc",
     "sklearn.metrics.average_precision_score",