code: def transform(self, X):
      if self.preprocessor is None:
          raise NotImplementedError()
      return self.preprocessor.transform(X)
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/kitchen_sinks.py
imports: from typing import Optional, Union
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter, UniformIntegerHyperparameter
  from numpy.random import RandomState
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 3 for calling the RandomKitchenSinks obj's underlying member method code with example usage: obj.transform(X) and returns: self