code: def set_hyperparameters(
      self,
      configuration: ConfigurationSpace,
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      init_params: Optional[Dict] = None,
  ) -> "DataPreprocessorChoice":
      config = {}
      params = configuration.get_dictionary()
      choice = params["__choice__"]
      del params["__choice__"]
  
      for param, value in params.items():
          param = param.replace(choice, "").split(":", 1)[1]
          config[param] = value
  
      new_params = {}
      if init_params is not None:
          for param, value in init_params.items():
              param = param.replace(choice, "").split(":", 1)[-1]
              if "feat_type" in param:
                  feat_type = value
              else:
                  new_params[param] = value
      self.choice = self.get_components()[choice](
          config=config, init_params=new_params, feat_type=feat_type
      )
  
      return self
  
file_path: auto-sklearn/autosklearn/pipeline/components/data_preprocessing/__init__.py
imports: from typing import Dict, Optional, Type
  import os
  from collections import OrderedDict
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.base import PIPELINE_DATA_DTYPE
  from ..base import AutoSklearnChoice, AutoSklearnPreprocessingAlgorithm, ThirdPartyComponents, find_components
label_desc: Use image node_id 5 for calling the DataPreprocessorChoice obj's underlying member method code with example usage: obj.set_hyperparameters(configuration, feat_type, init_params) and returns: self