class_docstr: Abstract base class for training defences.
docstr: Access function to get the classifier.
  
  :return: The classifier.
code: def classifier(self) -> "CLASSIFIER_LOSS_GRADIENTS_TYPE":
      """
      Access function to get the classifier.
  
      :return: The classifier.
      """
      return self._classifier
  
file_path: adversarial-robustness-toolbox/art/defences/trainer/trainer.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import abc
  from typing import TYPE_CHECKING
  import numpy
label_desc: Use image node_id 3 for calling the Trainer obj's underlying member method code with example usage: obj.classifier() and returns: self