class_docstr: A targeted attack on classification models which attempts to maximize
  the score of the target label.
  
  Complete when the arget label is the predicted label.
class_docstr_tok: ["A","targeted","attack","on","classification","models","which","attempts","to","maximize","the","score","of","the","target","label",".","Complete","when","the","arget","label","is","the","predicted","label","."]
code: def __init__(self, *args, target_class=0, **kwargs):
      super().__init__(*args, **kwargs)
      self.target_class = target_class
  
imports: from .classification_goal_function import ClassificationGoalFunction
label_desc: Use image node_id 1 to create a new TargetedClassification object from inherited base classes: ClassificationGoalFunction with example: obj = TargetedClassification()