code: def add_decision_tree_args(parser):
      decisiontree_group = parser.add_argument_group(
          "Decision Tree Classifier",
          "These options only apply when the DecisionTree classifier is chosen",
      )
      decisiontree_group.add_argument(
          "--entropy_cutoff",
          default=0.05,
          type=float,
          help="default is 0.05",
      )
      decisiontree_group.add_argument(
          "--depth_cutoff", default=100, type=int, help="default is 100"
      )
      decisiontree_group.add_argument(
          "--support_cutoff", default=10, type=int, help="default is 10"
      )
  
file_path: nltk-trainer/nltk_trainer/classification/args.py
imports: from nltk.classify import DecisionTreeClassifier, MaxentClassifier, NaiveBayesClassifier, megam
  from nltk_trainer import basestring
  from nltk_trainer.classification.multi import AvgProbClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: add_decision_tree_args(parser) without return types