code: def get_hyperparameter_search_space(
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      dataset_properties=None,
  ):
      alpha = UniformFloatHyperparameter(
          name="alpha",
          lower=1e-14,
          upper=1.0,
          default_value=1e-8,
          log=True,
      )
      thetaL = UniformFloatHyperparameter(
          name="thetaL",
          lower=1e-10,
          upper=1e-3,
          default_value=1e-6,
          log=True,
      )
      thetaU = UniformFloatHyperparameter(
          name="thetaU",
          lower=1.0,
          upper=100000,
          default_value=100000.0,
          log=True,
      )
  
      cs = ConfigurationSpace()
      cs.add_hyperparameters([alpha, thetaL, thetaU])
      return cs
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/gaussian_process.py
imports: from typing import Optional
  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 AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
label_desc: Use image node_id 5 for calling the GaussianProcess obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties) and returns: cs