code: def export_data(self, directory, filename, with_md5_hash=False):
          
          model_data = []
          for est in self.estimators:
              model_data.append({
                  'childrenLeft': est.tree_.children_left.tolist(),
                  'childrenRight': est.tree_.children_right.tolist(),
                  'thresholds': est.tree_.threshold.tolist(),
                  'classes': [e[0] for e in est.tree_.value.tolist()],
                  'indices': est.tree_.feature.tolist()
              })
          encoder.FLOAT_REPR = lambda o: self.repr(o)
          json_data = dumps(model_data, sort_keys=True)
          if with_md5_hash:
              import hashlib
              json_hash = hashlib.md5(json_data).hexdigest()
              filename = filename.split('.json')[0] + '_' + json_hash + '.json'
          path = os.path.join(directory, filename)
          with open(path, 'w') as fp:
              fp.write(json_data)
docs: Save model data in a JSON file.
  
          Parameters
          ----------
          :param directory : string
              The directory.
          :param filename : string
              The filename.
          :param with_md5_hash : bool
              Whether to append the checksum to the filename or not.