code: def classes(self) -> np.ndarray:
      if self.is_classifier():
          return np.unique(self.y_train)
  
imports: from collections import defaultdict
  from typing import List, Mapping
  import numpy
  import pandas
  from lightgbm.basic import Booster
  from dtreeviz.models.shadow_decision_tree import ShadowDecTree, VisualisationNotYetSupportedError
  from dtreeviz import utils
label_desc: Use image node_id 12 for calling the ShadowLightGBMTree obj's underlying member method code with example usage: obj.classes() and returns: np