code: def from_model(self, model: dict):
      trees = model["trees"]
      self._saved_tree = trees
      self._trees = [
          HeteroDecisionTreeHost.from_model(tree) for tree in trees
      ]
      self._model_loaded = True
      # load feature importances
      self._load_feature_importance(model["feature_importance"])
  
      return self
  
imports: import random
  import os
  from fate.ml.ensemble.learner.decision_tree.hetero.host import HeteroDecisionTreeHost
  from fate.ml.ensemble.algo.secureboost.hetero._base import HeteroBoostingTree
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.utils.binning import binning
  from fate.ml.ensemble.algo.secureboost.common.predict import predict_leaf_host
  from fate.ml.ensemble.learner.decision_tree.tree_core.decision_tree import GUEST_FEAT_ONLY, ALL_FEAT
  import logging
label_desc: Use image node_id 8 for calling the HeteroSecureBoostHost obj's underlying member method code with example usage: obj.from_model(model) and returns: self