code: def __init__(self, gain=0):
      self.gain = gain
      self.split = 1
  
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 1 to create a new FeatureImportance object from inherited base classes: object with example: obj = FeatureImportance(gain)