class_docstr: Abstract base class for transformation defences.
class_docstr_tok: ["Abstract","base","class","for","transformation","defences","."]
docstr: Get the internal classifier.
  
  :return: The internal classifier.
docstr_tok: ["Get","the","internal","classifier",".",":","return",":","The","internal","classifier","."]
code: def get_classifier(self) -> "CLASSIFIER_TYPE":
      """
      Get the internal classifier.
  
      :return: The internal classifier.
      """
      return self.classifier
  
file_path: adversarial-robustness-toolbox/art/defences/transformer/transformer.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import abc
  from typing import List, Optional, TYPE_CHECKING
  import numpy
label_desc: Use image node_id 3 for calling the Transformer obj's underlying member method code with example usage: obj.get_classifier() and returns: self