code: def transform(self, X: PIPELINE_DATA_DTYPE) -> PIPELINE_DATA_DTYPE:
      if self.preprocessor is None:
          raise NotFittedError()
  
      transformed_X = self.preprocessor.transform(X)
  
      return transformed_X
  
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 3 for calling the Rescaling obj's underlying member method code with example usage: obj.transform(X) and returns: transformed_X