code: def _load_feature_importance(self, feature_importance: dict):
      self._global_feature_importance = {
          k: FeatureImportance.from_dict(v)
          for k, v in feature_importance.items()
      }
  
file_path: FATE/python/fate/ml/ensemble/algo/secureboost/hetero/_base.py
imports: from typing import List
  import functools
  from fate.arch.dataframe import DataFrame
  from fate.ml.abc.module import HeteroModule, Model
  from fate.ml.ensemble.learner.decision_tree.tree_core.decision_tree import FeatureImportance, Node
  from typing import Dict
  import numpy
label_desc: Use image node_id 9 for calling the HeteroBoostingTree obj's underlying member method code with example usage: obj._load_feature_importance(feature_importance) without return types