code: def get_hyperparameter_search_space(
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      dataset_properties=None,
  ):
      reg_param = UniformFloatHyperparameter(
          "reg_param", 0.0, 1.0, default_value=0.0
      )
      cs = ConfigurationSpace()
      cs.add_hyperparameter(reg_param)
      return cs
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/qda.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
  from autosklearn.pipeline.implementations.util import softmax
label_desc: Use image node_id 6 for calling the QDA obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties) and returns: cs