class_docstr: This class implements a Classifier extension that wraps a classifier and a detector.
  More details in https://arxiv.org/abs/1705.07263
class_docstr_tok: ["This","class","implements","a","Classifier","extension","that","wraps","a","classifier","and","a","detector",".","More","details","in","https",":","\/\/arxiv.org\/abs\/1705.07263"]
docstr: Return the hidden layers in the model, if applicable. This function is not supported for the
  Classifier and Detector classes.
  
  :return: The hidden layers in the model, input and output layers excluded.
  :raises `NotImplementedException`: This method is not supported for detector-classifiers.
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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 the
      Classifier and Detector classes.
  
      :return: The hidden layers in the model, input and output layers excluded.
      :raises `NotImplementedException`: This method is not supported for detector-classifiers.
      """
      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
label_desc: Use image node_id 9 for calling the DetectorClassifier obj's underlying member method code with example usage: obj.layer_names() without return types