code: def __init__(
      self,
      random_state: Optional[Union[int, np.random.RandomState]] = None,
  ) -> None:
      self.preprocessor: Optional[BaseEstimator] = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/data_preprocessing/rescaling/abstract_rescaling.py
imports: from typing import Optional, Union
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from sklearn.base import BaseEstimator
  from sklearn.exceptions import NotFittedError
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
label_desc: Use image node_id 1 to create a new Rescaling object from inherited base classes: object with example: obj = Rescaling(random_state)