code: def transform(self, X):
      if self.preprocessor is None:
          raise NotImplementedError()
      return self.preprocessor.transform(X)
  
imports: from typing import Optional
  from pprint import pprint
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter, CategoricalHyperparameter
  from ConfigSpace.conditions import InCondition
  import sklearn.metrics
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  import autosklearn.classification
  import autosklearn.pipeline.components.feature_preprocessing
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, SIGNED_DATA, UNSIGNED_DATA
  from autosklearn.util.common import check_none
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 3 for calling the LDA obj's underlying member method code with example usage: obj.transform(X) and returns: self