code: def estimator_supports_iterative_fit(self):
      return hasattr(self.choice, "iterative_fit")
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/__init__.py
imports: from typing import Type
  import os
  from collections import OrderedDict
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from ..base import AutoSklearnChoice, AutoSklearnClassificationAlgorithm, ThirdPartyComponents, _addons, find_components
label_desc: Use image node_id 5 for calling the ClassifierChoice obj's underlying member method code with example usage: obj.estimator_supports_iterative_fit() and returns: hasattr