Version 0.2

New features

  • Speed improvements when using gp_minimize with acq_optimizer='lbfgs' and acq_optimizer='auto' when all the search-space dimensions are Real.

  • Persistence of minimization results using skopt.dump and skopt.load.

  • Support for using arbitrary estimators that implement a return_std argument in their predict method by means of base_minimize from skopt.optimizer.

  • Support for tuning noise in gp_minimize using the noise argument.

  • TimerCallback in skopt.callbacks to log the time between iterations of the minimization loop.