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 evaluator
docstr_tok: ["Imports","the","evaluator"]
code: def _get_acq_evaluator(self, acq):
      """
      Imports the evaluator
      """
  
      from ..core.evaluators import select_evaluator
      from copy import deepcopy
  
      eval_args = deepcopy(self.config["acquisition"]["evaluator"])
      del eval_args["type"]
      return select_evaluator(
          self.config["acquisition"]["evaluator"]["type"]
      )(acq, **eval_args)
  
file_path: GPyOpt/GPyOpt/interface/driver.py
imports: import numpy
  import time
  from ..methods import BayesianOptimization
label_desc: Use image node_id 6 for calling the BODriver obj's underlying member method code with example usage: obj._get_acq_evaluator(acq) and returns: select_evaluator