class_docstr: Class to handle extra configurations in the definition of the BayesianOptimization class
class_docstr_tok: ["Class","to","handle","extra","configurations","in","the","definition","of","the","BayesianOptimization","class"]
code: def __init__(self, kwargs):
      self.kwargs = kwargs
  
file_path: GPyOpt/GPyOpt/util/arguments_manager.py
imports: from ..models.gpmodel import GPModel, GPModel_MCMC
  from ..models.rfmodel import RFModel
  from ..models.warpedgpmodel import WarpedGPModel
  from ..models.input_warped_gpmodel import InputWarpedGPModel
  from ..core.evaluators import Sequential, RandomBatch, LocalPenalization, ThompsonBatch
  from ..acquisitions import AcquisitionEI, AcquisitionMPI, AcquisitionLCB, AcquisitionEI_MCMC, AcquisitionMPI_MCMC, AcquisitionLCB_MCMC, AcquisitionLP
  from ..core.errors import InvalidConfigError
label_desc: Use image node_id 1 to create a new ArgumentsManager object from inherited base classes: object with example: obj = ArgumentsManager(kwargs)