code: def get_hyperparameter_search_space(
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      dataset_properties=None,
  ):
      percentile = UniformFloatHyperparameter(
          "percentile", lower=1, upper=99, default_value=50
      )
  
      score_func = CategoricalHyperparameter(
          name="score_func", choices=["f_regression", "mutual_info"]
      )
  
      cs = ConfigurationSpace()
      cs.add_hyperparameters([percentile, score_func])
      return cs
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/select_percentile_regression.py
imports: from typing import Optional
  from functools import partial
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.components.feature_preprocessing.select_percentile import SelectPercentileBase
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 3 for calling the SelectPercentileRegression obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties) and returns: cs