MAINT Parameters validation for metrics.max_error (#25679)

sortofamudkip · web-flow · commit 91885d4ef62c · 2023-02-24T10:38:49.000+01:00
diff --git a/sklearn/metrics/_regression.py b/sklearn/metrics/_regression.py
@@ -976,6 +976,12 @@ def r2_score(
     )
 
 
+@validate_params(
+    {
+        "y_true": ["array-like"],
+        "y_pred": ["array-like"],
+    }
+)
 def max_error(y_true, y_pred):
     """
     The max_error metric calculates the maximum residual error.
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
@@ -123,6 +123,7 @@ def _check_function_param_validation(
     "sklearn.metrics.f1_score",
     "sklearn.metrics.hamming_loss",
     "sklearn.metrics.log_loss",
+    "sklearn.metrics.max_error",
     "sklearn.metrics.mean_absolute_error",
     "sklearn.metrics.mean_squared_error",
     "sklearn.metrics.mean_tweedie_deviance",
