code: def predict_proba(self, X):
      if self.estimator is None:
          raise NotImplementedError()
      return self.estimator.predict_proba(X)
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/k_nearest_neighbors.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformIntegerHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 4 for calling the KNearestNeighborsClassifier obj's underlying member method code with example usage: obj.predict_proba(X) and returns: self