code: def to_dict(self):
      return {"gain": self.gain, "split": self.split}
  
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 6 for calling the FeatureImportance obj's underlying member method code with example usage: obj.to_dict() and returns: dict