code: def get_hyperparameter_search_space(
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      dataset_properties=None,
  ):
      cs = ConfigurationSpace()
      n_iter = UnParametrizedHyperparameter("n_iter", value=300)
      tol = UniformFloatHyperparameter(
          "tol", 10**-5, 10**-1, default_value=10**-3, log=True
      )
      alpha_1 = UniformFloatHyperparameter(
          name="alpha_1",
          lower=10**-10,
          upper=10**-3,
          default_value=10**-6,
      )
      alpha_2 = UniformFloatHyperparameter(
          name="alpha_2",
          log=True,
          lower=10**-10,
          upper=10**-3,
          default_value=10**-6,
      )
      lambda_1 = UniformFloatHyperparameter(
          name="lambda_1",
          log=True,
          lower=10**-10,
          upper=10**-3,
          default_value=10**-6,
      )
      lambda_2 = UniformFloatHyperparameter(
          name="lambda_2",
          log=True,
          lower=10**-10,
          upper=10**-3,
          default_value=10**-6,
      )
      threshold_lambda = UniformFloatHyperparameter(
          name="threshold_lambda",
          log=True,
          lower=10**3,
          upper=10**5,
          default_value=10**4,
      )
      fit_intercept = UnParametrizedHyperparameter(
          "fit_intercept", "True"
      )
  
      cs.add_hyperparameters(
          [
              n_iter,
              tol,
              alpha_1,
              alpha_2,
              lambda_1,
              lambda_2,
              threshold_lambda,
              fit_intercept,
          ]
      )
  
      return cs
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/ard_regression.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 5 for calling the ARDRegression obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties) and returns: cs