class_docstr: Wraps an instance of an :obj:`art.classifiers.Classifier` to extend
  :obj:`~aif360.algorithms.Transformer`.
docstr: Initialize ARTClassifier.
  
  Args:
      art_classifier (art.classifier.Classifier): A Classifier
          object from the `adversarial-robustness-toolbox`_.
  
  .. _adversarial-robustness-toolbox:
     https://github.com/Trusted-AI/adversarial-robustness-toolbox
docstr_tok: ["Initialize","ARTClassifier",".","Args",":","art_classifier","(","art.classifier.Classifier",")",":","A","Classifier","object","from","the","`","adversarial-robustness-toolbox","`","_",".","..","_adversarial-robustness-toolbox",":","https",":","\/\/github.com\/Trusted-AI\/adversarial-robustness-toolbox"]
code: def __init__(self, art_classifier):
      """Initialize ARTClassifier.
  
      Args:
          art_classifier (art.classifier.Classifier): A Classifier
              object from the `adversarial-robustness-toolbox`_.
  
      .. _adversarial-robustness-toolbox:
         https://github.com/Trusted-AI/adversarial-robustness-toolbox
      """
      super(ARTClassifier, self).__init__(art_classifier=art_classifier)
      self._art_classifier = art_classifier
  
imports: import numpy
  from aif360.datasets import BinaryLabelDataset
  from aif360.algorithms import Transformer
label_desc: Use image node_id 1 to create a new ARTClassifier object from inherited base classes: Transformer with example: obj = ARTClassifier(art_classifier)