code: def nclasses(self) -> int:
      if not self.is_classifier():
          return 1
      else:
          # didn't find an API method from TF-DF to return the class labels
          return len(np.unique(self.y_train))
  
imports: from collections import defaultdict
  from typing import List, Mapping
  import numpy
  import tensorflow_decision_forests
  from tensorflow_decision_forests.component.py_tree.node import LeafNode
  from tensorflow_decision_forests.keras import RandomForestModel
  from tensorflow_decision_forests.tensorflow.core import Task
  from dtreeviz.models.shadow_decision_tree import ShadowDecTree, VisualisationNotYetSupportedError
label_desc: Use image node_id 12 for calling the ShadowTensorflowTree obj's underlying member method code with example usage: obj.nclasses() and returns: int, len