code: def restore(self, checkpoint):
      with open(checkpoint, "rb") as f:
          self.model = pickle.load(f)
      self.model_init = True
  
imports: import pickle
  import pandas
  from xgboost.sklearn import XGBRegressor
  from xgboost.sklearn import XGBClassifier
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  import logging
label_desc: Use image node_id 9 for calling the XGBoost obj's underlying member method code with example usage: obj.restore(checkpoint) without return types