Fix typo

sklearn_genetic/algorithms.py

@@ -276,8 +276,6 @@ def eaMuPlusLambda(
         halloffame.update(population)
 
     record = stats.compile(population) if stats is not None else {}
-    print("INSTANCE")
-    print(isinstance(record["fitness"], np.ndarray))
     if isinstance(record["fitness"], np.ndarray):
         record = {key: value[0] for key, value in record.items()}
 

sklearn_genetic/genetic_search.py

@@ -12,7 +12,6 @@
 from sklearn.utils.validation import check_is_fitted
 from sklearn.metrics import check_scoring
 from sklearn.exceptions import NotFittedError
-from sklearn.preprocessing import MinMaxScaler
 from sklearn.model_selection._search import BaseSearchCV
 from sklearn.model_selection._split import check_cv
 
@@ -980,11 +979,12 @@ def evaluate(self, individual):
             The second one is the number of features selected
 
         """
-        current_generation_params = {"features": individual}
-
-        local_estimator = clone(self.estimator)
 
         bool_individual = np.array(individual, dtype=bool)
+
+        current_generation_params = {"features": bool_individual}
+
+        local_estimator = clone(self.estimator)
         n_selected_features = np.sum(individual)
 
         # Compute the cv-metrics using only the selected features
@@ -1070,7 +1070,7 @@ def fit(self, X, y, callbacks=None):
         # Update the _n_iterations value as the algorithm could stop earlier due a callback
         self._n_iterations = n_gen
 
-        self.best_features_ = self._hof[0]
+        self.best_features_ = np.array(self._hof[0], dtype=bool)
 
         self.cv_results_ = create_feature_selection_cv_results_(
             logbook=self.logbook,