docstr: Print ASCII visualization of decision tree.
docstr_tok: ["Print","ASCII","visualization","of","decision","tree","."]
code: def debug(self, feature_names, class_names, show_details=True):
      """Print ASCII visualization of decision tree."""
      self.tree_.debug(feature_names, class_names, show_details)
  
imports: import numpy
  import ray
  from sklearn import datasets, metrics
  import time
  import tempfile
  import os
  import json
label_desc: Use image node_id 4 for calling the DecisionTreeClassifier obj's underlying member method code with example usage: obj.debug(feature_names, class_names, show_details) without return types