class_docstr: The class for driving the Bayesian optimization according to the configuration.
class_docstr_tok: ["The","class","for","driving","the","Bayesian","optimization","according","to","the","configuration","."]
docstr: Imports the model.
docstr_tok: ["Imports","the","model","."]
code: def _get_model(self):
      """
      Imports the model.
      """
  
      from copy import deepcopy
  
      model_args = deepcopy(self.config["model"])
      del model_args["type"]
      from ..models import select_model
  
      return select_model(self.config["model"]["type"]).fromConfig(
          model_args
      )
  
file_path: GPyOpt/GPyOpt/interface/driver.py
imports: import numpy
  import time
  from ..methods import BayesianOptimization
label_desc: Use image node_id 4 for calling the BODriver obj's underlying member method code with example usage: obj._get_model() and returns: select_model