class_docstr: Class allowing to aggregate multiple classifiers as an ensemble. The individual classifiers are expected to be
  trained when the ensemble is created and no training procedures are provided through this class.
docstr: Return the hidden layers in the model, if applicable. This function is not supported for ensembles.
  
  :return: The hidden layers in the model, input and output layers excluded.
  :raises `NotImplementedException`: This method is not supported for ensembles.
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code: def layer_names(self) -> List[str]:
      """
      Return the hidden layers in the model, if applicable. This function is not supported for ensembles.
  
      :return: The hidden layers in the model, input and output layers excluded.
      :raises `NotImplementedException`: This method is not supported for ensembles.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  from typing import List, Optional, Union, Tuple, TYPE_CHECKING
  import numpy
  from art.estimators.classification.classifier import ClassifierNeuralNetwork
  from art.estimators.estimator import NeuralNetworkMixin
label_desc: Use image node_id 8 for calling the EnsembleClassifier obj's underlying member method code with example usage: obj.layer_names() without return types