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 __init__(self, *args, target_num_words=1, **kwargs):
      self.target_num_words = target_num_words
      super().__init__(*args, **kwargs)
  
file_path: TextAttack/textattack/goal_functions/classification/input_reduction.py
imports: from .classification_goal_function import ClassificationGoalFunction
label_desc: Use image node_id 1 to create a new InputReduction object from inherited base classes: ClassificationGoalFunction with example: obj = InputReduction()