code: def get_hyperparameter_search_space(
      self,
      feat_type: FEAT_TYPE_TYPE,
      dataset_properties=None,
      default=None,
      include=None,
      exclude=None,
  ):
      raise NotImplementedError()
  
imports: from typing import Dict, Optional
  import importlib
  import inspect
  import pkgutil
  import sys
  from collections import OrderedDict
  from sklearn.base import BaseEstimator, TransformerMixin
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.constants import SPARSE
label_desc: Use image node_id 5 for calling the AutoSklearnChoice obj's underlying member method code with example usage: obj.get_hyperparameter_search_space(feat_type, dataset_properties, default, include, exclude) without return types