code: def get_model(self):
      model_dict = {}
      nodes = [n.to_dict() for n in self._nodes]
      feat_importance = {
          k: v.to_dict() for k, v in self._feature_importance.items()
      }
      param = self.get_hyper_param()
      model_dict["nodes"] = nodes
      model_dict["feature_importance"] = feat_importance
      model_dict["hyper_param"] = param
  
      return model_dict
  
imports: import numpy
  import pandas
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.learner.decision_tree.tree_core.splitter import SplitInfo
  from typing import List
  import logging
label_desc: Use image node_id 24 for calling the DecisionTree obj's underlying member method code with example usage: obj.get_model() and returns: model_dict