Fix incorrect changes introduced in cherry-pick

wildboar-foundation · Jun 24, 2024 · 235571c · 235571c
1 parent 4d07f94
commit 235571c
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diff --git a/src/wildboar/explain/counterfactual/_nun.py b/src/wildboar/explain/counterfactual/_nun.py
diff --git a/src/wildboar/linear_model/_transform.py b/src/wildboar/linear_model/_transform.py
@@ -80,13 +80,6 @@ def decision_function(self, x):
 
 
 class TransformRidgeClassifierCV(BaseTransformClassifier):
-    _parameter_constraints = {
-        **BaseTransformEstimator._parameter_constraints,
-        **RidgeClassifierCV._parameter_constraints,
-        "normalize": [bool, StrOptions({"sparse"})],
-    }
-    _parameter_constraints.pop("store_cv_values")
-    _parameter_constraints.pop("store_cv_results")
 
     def __init__(
         self,
@@ -136,14 +129,6 @@ def predict_proba(self, x):
 
 
 class TransformRidgeCV(BaseTransformRegressor):
-    _parameter_constraints = {
-        **BaseTransformEstimator._parameter_constraints,
-        **RidgeCV._parameter_constraints,
-        "normalize": [bool, StrOptions({"sparse"})],
-    }
-
-    for param in ("store_cv_values", "store_cv_results", "alpha_per_target"):
-        _parameter_constraints.pop(param)
 
     def __init__(
         self,