code: def nclasses(self) -> int:
      if not self.is_classifier():
          return 1
  
      # TODO for multiclass decision tree, the numClasses is the max of classe values + 1
      # ex. [15, 25, 35, 40, 45, 55, 65, 70] -> numClasses = 71
      return self.tree_model.numClasses
  
imports: from abc import ABC
  from collections import defaultdict
  from typing import List, Mapping
  import numpy
  import pyspark
  from dtreeviz.models.shadow_decision_tree import ShadowDecTree
  from dtreeviz.utils import criterion_remapping
  from pyspark.ml.classification import DecisionTreeClassificationModel
  from pyspark.ml.regression import DecisionTreeRegressionModel
label_desc: Use image node_id 11 for calling the ShadowSparkTree obj's underlying member method code with example usage: obj.nclasses() and returns: self, int