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 domain.
docstr_tok: ["Imports","the","domain","."]
code: def _get_space(self):
      """
      Imports the domain.
      """
      assert (
          "space" in self.config
      ), "The search space is NOT configured!"
  
      space_config = self.config["space"]
      constraint_config = self.config["constraints"]
      from ..core.task.space import Design_space
  
      return Design_space.fromConfig(space_config, constraint_config)
  
file_path: GPyOpt/GPyOpt/interface/driver.py
imports: import numpy
  import time
  from ..methods import BayesianOptimization
label_desc: Use image node_id 3 for calling the BODriver obj's underlying member method code with example usage: obj._get_space() and returns: Design_space