sklearn attempted fix

Author: fkiraly

src/hyperactive/integrations/sklearn/_adapter/__init__.py

@@ -0,0 +1,8 @@
+# copyright: hyperactive developers, MIT License (see LICENSE file)
+
+
+from hyperactive.integrations.sklearn._adapter._sklearnadapter import _SklearnAdapter
+
+__all__ = [
+    "_SklearnAdapter",
+]

src/hyperactive/integrations/sklearn/_adapter/_sklearnadapter.py

@@ -0,0 +1,30 @@
+"""Adapter for sklearn regressors and classifiers for Hyperactive optimizers."""
+
+from sklearn.base import clone
+from sklearn.utils.validation import indexable, _check_method_params
+
+
+class _SklearnAdapter:
+
+    _required_parameters = ["estimator", "optimizer", "params_config"]
+
+    def _refit(self, X, y=None, **fit_params):
+        self.best_estimator_ = clone(self.estimator).set_params(
+            **clone(self.best_params_, safe=False)
+        )
+
+        self.best_estimator_.fit(X, y, **fit_params)
+        return self
+
+    def _check_data(self, X, y):
+        X, y = indexable(X, y)
+        if hasattr(self, "_validate_data"):
+            validate_data = self._validate_data
+        else:
+            from sklearn.utils.validation import validate_data
+
+        return validate_data(X, y, ensure_2d=False)
+
+    @property
+    def fit_successful(self):
+        self._fit_successful

src/hyperactive/integrations/sklearn/hyperactive_search_cv.py

@@ -17,9 +17,10 @@
 from .checks import Checks
 from ...optimizers import RandomSearchOptimizer
 from hyperactive.experiment.integrations.sklearn_cv import SklearnCvExperiment
+from hyperactive.integrations.sklearn._adapter import _SklearnAdapter
 
 
-class HyperactiveSearchCV(BaseEstimator, _BestEstimator_, Checks):
+class HyperactiveSearchCV(_SklearnAdapter, BaseEstimator, _BestEstimator_, Checks):
     """
     HyperactiveSearchCV class for hyperparameter tuning using cross-validation with sklearn estimators.
 

src/hyperactive/integrations/sklearn/opt_cv.py

@@ -10,10 +10,11 @@
 from hyperactive.integrations.sklearn.best_estimator import (
     BestEstimator as _BestEstimator_
 )
+from hyperactive.integrations.sklearn._adapter import _SklearnAdapter
 from hyperactive.integrations.sklearn.checks import Checks
 
 
-class OptCV(BaseEstimator, _BestEstimator_, Checks):
+class OptCV(_SklearnAdapter, BaseEstimator, _BestEstimator_, Checks):
     """Tuning via any optimizer in the hyperactive API.
 
     Parameters