code: def get_features(self) -> np.ndarray:
      if self.features is not None:
          return self.features
  
      feature_index = [-1] * self.tree_model.numNodes
      for i in range(self.tree_model.numNodes):
          if "InternalNode" in self.tree_nodes[i].toString():
              feature_index[i] = (
                  self.tree_nodes[i].split().featureIndex()
              )
      self.features = np.array(feature_index)
      return self.features
  
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 9 for calling the ShadowSparkTree obj's underlying member method code with example usage: obj.get_features() and returns: self, self