[fix]: back to the renamed version of CROSS_VAL_FN from temporal SplitFunc typing.

Author: nabenabe0928

autoPyTorch/datasets/base_dataset.py

@@ -1,5 +1,5 @@
 from abc import ABCMeta
-from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, cast, Callable
+from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, cast
 
 import numpy as np
 
@@ -17,12 +17,11 @@
     CrossValFunc,
     DEFAULT_RESAMPLING_PARAMETERS,
     HoldoutValTypes,
-    HoldOutValFunc
+    HoldoutValFunc
 )
 from autoPyTorch.utils.common import FitRequirement, hash_array_or_matrix
 
 BaseDatasetType = Union[Tuple[np.ndarray, np.ndarray], Dataset]
-SplitFunc = Callable[[Union[int, float], np.ndarray, Any], List[Tuple[np.ndarray, np.ndarray]]]
 
 
 def check_valid_data(data: Any) -> None:
@@ -111,7 +110,7 @@ def __init__(
             type_check(train_tensors, val_tensors)
         self.train_tensors, self.val_tensors, self.test_tensors = train_tensors, val_tensors, test_tensors
         self.cross_validators: Dict[str, CrossValFunc] = {}
-        self.holdout_validators: Dict[str, HoldOutValFunc] = {}
+        self.holdout_validators: Dict[str, HoldoutValFunc] = {}
         self.rng = np.random.RandomState(seed=seed)
         self.shuffle = shuffle
         self.resampling_strategy = resampling_strategy