update compatibility with scikitlearn 1.4

requirements.txt

@@ -1,7 +1,7 @@
 deap>=1.2
 nose==1.3.7
 numpy>=1.16.3
-scikit-learn>=1.1.3
+scikit-learn>=1.4.1
 imbalanced-learn>=0.7.0
 scipy>=1.3.1
 tqdm>=4.36.1

setup.py

@@ -37,7 +37,7 @@ def calculate_version():
     zip_safe=True,
     install_requires=['numpy>=1.16.3',
                     'scipy>=1.3.1',
-                    'scikit-learn>=1.1.3',
+                    'scikit-learn>=1.4.1',
                     'deap>=1.2',
                     'update_checker>=0.16',
                     'tqdm>=4.36.1',

tpot/gp_deap.py

@@ -464,7 +464,8 @@ def _wrapped_cross_val_score(sklearn_pipeline, features, target,
                                          verbose=0,
                                          parameters=None,
                                          error_score='raise',
-                                         fit_params=sample_weight_dict)
+                                         fit_params=sample_weight_dict,
+                                         score_params=None)
                                     for train, test in cv_iter]
                 if isinstance(scores[0], list): #scikit-learn <= 0.23.2
                     CV_score = np.array(scores)[:, 0]