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 acquisition
docstr_tok: ["Imports","the","acquisition"]
code: def _get_acquisition(self, model, space):
      """
      Imports the acquisition
      """
  
      from copy import deepcopy
  
      acqOpt_config = deepcopy(self.config["acquisition"]["optimizer"])
      acqOpt_name = acqOpt_config["name"]
      del acqOpt_config["name"]
  
      from ..optimization import AcquisitionOptimizer
  
      acqOpt = AcquisitionOptimizer(space, acqOpt_name, **acqOpt_config)
      from ..acquisitions import select_acquisition
  
      return select_acquisition(
          self.config["acquisition"]["type"]
      ).fromConfig(
          model, space, acqOpt, None, self.config["acquisition"]
      )
  
file_path: GPyOpt/GPyOpt/interface/driver.py
imports: import numpy
  import time
  from ..methods import BayesianOptimization
label_desc: Use image node_id 5 for calling the BODriver obj's underlying member method code with example usage: obj._get_acquisition(model, space) and returns: select_acquisition