MAINT validate parameter in RobustScaler (#23588)

SangamSwadiK · jeremiedbb · web-flow · commit 76ea15f7de8f · 2022-06-27T09:50:20.000+02:00
Co-authored-by: Sangam Swadi K &lt;sangamswadik@users.noreply.github.com&gt;
Co-authored-by: jeremie du boisberranger &lt;jeremiedbb@yahoo.fr&gt;
Co-authored-by: Jérémie du Boisberranger &lt;34657725+jeremiedbb@users.noreply.github.com&gt;
diff --git a/sklearn/preprocessing/_data.py b/sklearn/preprocessing/_data.py
@@ -1470,6 +1470,14 @@ class RobustScaler(_OneToOneFeatureMixin, TransformerMixin, BaseEstimator):
            [ 1. ,  0. , -1.6]])
     """
 
+    _parameter_constraints = {
+        "with_centering": ["boolean"],
+        "with_scaling": ["boolean"],
+        "quantile_range": [tuple],
+        "copy": ["boolean"],
+        "unit_variance": ["boolean"],
+    }
+
     def __init__(
         self,
         *,
@@ -1502,6 +1510,8 @@ def fit(self, X, y=None):
         self : object
             Fitted scaler.
         """
+        self._validate_params()
+
         # at fit, convert sparse matrices to csc for optimized computation of
         # the quantiles
         X = self._validate_data(
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
@@ -578,7 +578,6 @@ def test_estimators_do_not_raise_errors_in_init_or_set_params(Estimator):
     "RegressorChain",
     "RidgeCV",
     "RidgeClassifierCV",
-    "RobustScaler",
     "SVC",
     "SVR",
     "SelectFdr",
