Solve backward compability

cdplib/ml_validation/cross_validate_with_fine_tuning.py

@@ -162,7 +162,7 @@ import sys
 import numpy as np
 from itertools import zip_longest
 
-from numpy.typing import ArrayLike
+# from numpy.typing import ArrayLike
 
 if (sys.version_info.major == 3) & (sys.version_info.minor >= 8):
     from typing import Callable, Dict, Iterable, Union
@@ -183,9 +183,12 @@ from cdplib.ml_validation.fine_tuning import get_optimal_proba_threshold
 def cross_validate_with_optimal_threshold(
         score_func_threshold: Callable,
         estimator: object,
-        X: ArrayLike,
-        y: ArrayLike = None,
-        groups: ArrayLike = None,
+        # X: ArrayLike,
+        # y: ArrayLike = None,
+        # groups: ArrayLike = None,
+        X,
+        y = None,
+        groups = None,
         scoring: Union[Callable, Dict] = None,
         cv: Union[Iterable, int, None] = None,
         n_jobs: int = None,
@@ -195,10 +198,14 @@ def cross_validate_with_optimal_threshold(
         return_train_score: bool = False,
         return_estimator: bool = False,
         error_score: float = np.nan, 
-        X_val: ArrayLike = None,
-        y_val: ArrayLike = None,
-        X_val_threshold: ArrayLike = None,
-        y_val_threshold: ArrayLike = None,
+        # X_val: ArrayLike = None,
+        # y_val: ArrayLike = None,
+        # X_val_threshold: ArrayLike = None,
+        # y_val_threshold: ArrayLike = None,
+        X_val = None,
+        y_val = None,
+        X_val_threshold = None,
+        y_val_threshold = None,
         cv_threshold: Union[Iterable, int, None] = None,
         threshold_set: Union[Iterable, None] = None,
         scores: Dict = None)-> Dict: