class_docstr: Attempts to reduce the input down to as few words as possible while
  maintaining the same predicted label.
  
  From Feng, Wallace, Grissom, Iyyer, Rodriguez, Boyd-Graber. (2018).
  Pathologies of Neural Models Make Interpretations Difficult.
  https://arxiv.org/abs/1804.07781
code: def _should_skip(self, model_output, attacked_text):
      return self.ground_truth_output != model_output.argmax()
  
file_path: TextAttack/textattack/goal_functions/classification/input_reduction.py
imports: from .classification_goal_function import ClassificationGoalFunction
label_desc: Use image node_id 3 for calling the InputReduction obj's underlying member method code with example usage: obj._should_skip(model_output, attacked_text) and returns: unknown