syne_tune.experiments.default_baselines module

syne_tune.experiments.default_baselines.RandomSearch(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.GridSearch(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.BayesianOptimization(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.KDE(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.BORE(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.BoTorch(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.REA(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.ConstrainedBayesianOptimization(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.ASHA(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.MOBSTER(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.HyperTune(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.BOHB(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.DyHPO(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.ASHABORE(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.SyncHyperband(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.SyncBOHB(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.DEHB(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.SyncMOBSTER(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.MOREA(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.LSOBO(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.NSGA2(method_arguments, **kwargs)[source]
syne_tune.experiments.default_baselines.MORandomScalarizationBayesOpt(method_arguments, **kwargs)[source]