code: def predict_proba(self, X):
      if self.estimator is None:
          raise NotImplementedError()
      return self.estimator.predict_proba(X)
  
imports: from typing import Optional
  import copy
  import numpy
  from ConfigSpace.conditions import InCondition
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformFloatHyperparameter, UniformIntegerHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm, IterativeComponent
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 7 for calling the MLPClassifier obj's underlying member method code with example usage: obj.predict_proba(X) and returns: self