code: def get_hyperparameter_search_space(
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      dataset_properties=None,
  ):
      cs = ConfigurationSpace()
      C = UniformFloatHyperparameter(
          "C", 0.03125, 32768, log=True, default_value=1.0
      )
      loss = CategoricalHyperparameter(
          "loss",
          ["epsilon_insensitive", "squared_epsilon_insensitive"],
          default_value="squared_epsilon_insensitive",
      )
      # Random Guess
      epsilon = UniformFloatHyperparameter(
          name="epsilon",
          lower=0.001,
          upper=1,
          default_value=0.1,
          log=True,
      )
      dual = Constant("dual", "False")
      # These are set ad-hoc
      tol = UniformFloatHyperparameter(
          "tol", 1e-5, 1e-1, default_value=1e-4, log=True
      )
      fit_intercept = Constant("fit_intercept", "True")
      intercept_scaling = Constant("intercept_scaling", 1)
  
      cs.add_hyperparameters(
          [
              C,
              loss,
              epsilon,
              dual,
              tol,
              fit_intercept,
              intercept_scaling,
          ]
      )
  
      dual_and_loss = ForbiddenAndConjunction(
          ForbiddenEqualsClause(dual, "False"),
          ForbiddenEqualsClause(loss, "epsilon_insensitive"),
      )
      cs.add_forbidden_clause(dual_and_loss)
  
      return cs
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/liblinear_svr.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 5 for calling the LibLinear_SVR obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties) and returns: cs