code: def build(self, config):
      model = XGBoost(
          model_type=self.model_type, config=self.model_config
      )
      model._build(**config)
      return model
  
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 2 for calling the XGBoostModelBuilder obj's underlying member method code with example usage: obj.build(config) and returns: model