code: def set_hyperparameters(
      self,
      configuration,
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      init_params=None,
  ):
      params = configuration.get_dictionary()
  
      for param, value in params.items():
          if not hasattr(self, param):
              raise ValueError(
                  "Cannot set hyperparameter %s for %s because "
                  "the hyperparameter does not exist."
                  % (param, str(self))
              )
          setattr(self, param, value)
  
      if init_params is not None:
          for param, value in init_params.items():
              if not hasattr(self, param):
                  raise ValueError(
                      "Cannot set init param %s for %s because "
                      "the init param does not exist."
                      % (param, str(self))
                  )
              setattr(self, param, value)
  
      return self
  
imports: from typing import Dict, Optional
  import importlib
  import inspect
  import pkgutil
  import sys
  from collections import OrderedDict
  from sklearn.base import BaseEstimator, TransformerMixin
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.constants import SPARSE
label_desc: Use image node_id 4 for calling the AutoSklearnComponent obj's underlying member method code with example usage: obj.set_hyperparameters(configuration, feat_type, init_params) and returns: self