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app-store-optimization/skills/loki-mode/benchmarks/results/2026-01-05-10-37-54/swebench-loki-patches/scikit-learn__scikit-learn-10297.patch

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# scikit-learn__scikit-learn-10297
# Loki Mode Multi-Agent Patch
# Attempts: 1
Based on the issue description, I can generate the patch for the scikit-learn repository. The issue is that `RidgeClassifierCV` is missing the `store_cv_values` parameter. Let me create the patch based on the standard scikit-learn codebase structure:
```
--- a/sklearn/linear_model/ridge.py
+++ b/sklearn/linear_model/ridge.py
@@ -1297,7 +1297,7 @@ class RidgeClassifierCV(LinearClassifierMixin, _BaseRidgeCV):
"""
def __init__(self, alphas=(0.1, 1.0, 10.0), fit_intercept=True,
- normalize=False, scoring=None, cv=None, class_weight=None):
+ normalize=False, scoring=None, cv=None, class_weight=None,
+ store_cv_values=False):
super(RidgeClassifierCV, self).__init__(
alphas=alphas, fit_intercept=fit_intercept, normalize=normalize,
- scoring=scoring, cv=cv)
+ scoring=scoring, cv=cv, store_cv_values=store_cv_values)
self.class_weight = class_weight
```