smac.facade.roar_facade module

class smac.facade.roar_facade.ROAR(scenario: smac.scenario.scenario.Scenario, tae_runner: Optional[Union[Type[smac.tae.base.BaseRunner], Callable]] = None, tae_runner_kwargs: Optional[Dict] = None, runhistory: Optional[smac.runhistory.runhistory.RunHistory] = None, intensifier: Optional[Type[smac.intensification.abstract_racer.AbstractRacer]] = None, intensifier_kwargs: Optional[Dict] = None, acquisition_function_optimizer: Optional[Type[smac.optimizer.ei_optimization.AcquisitionFunctionMaximizer]] = None, acquisition_function_optimizer_kwargs: Optional[dict] = None, initial_design: Optional[Type[smac.initial_design.initial_design.InitialDesign]] = None, initial_design_kwargs: Optional[dict] = None, initial_configurations: Optional[List[ConfigSpace.configuration_space.Configuration]] = None, stats: Optional[smac.stats.stats.Stats] = None, rng: Optional[numpy.random.mtrand.RandomState] = None, run_id: int = 1, dask_client: Optional[distributed.client.Client] = None, n_jobs: Optional[int] = 1)[source]

Bases: smac.facade.smac_ac_facade.SMAC4AC

Facade to use ROAR mode


See also



  • scenario (smac.scenario.scenario.Scenario) – Scenario object

  • tae_runner (smac.tae.base.BaseRunner or callable) – Callable or implementation of BaseRunner. In case a callable is passed it will be wrapped by ExecuteTAFuncDict. If not set, it will be initialized with the ExecuteTARunOld.

  • tae_runner_kwargs (Optional[Dict]) – arguments passed to constructor of ‘~tae_runner’

  • runhistory (RunHistory) – Runhistory to store all algorithm runs

  • intensifier (AbstractRacer) – intensification object to issue a racing to decide the current incumbent

  • intensifier_kwargs (Optional[Dict]) – arguments passed to the constructor of ‘~intensifier’

  • acquisition_function_optimizer (AcquisitionFunctionMaximizer) – Object that implements the AcquisitionFunctionMaximizer. Will use smac.optimizer.ei_optimization.RandomSearch if not set. Can be used to perform random search over a fixed set of configurations.

  • acquisition_function_optimizer_kwargs (Optional[dict]) – Arguments passed to constructor of ~acquisition_function_optimizer

  • initial_design (InitialDesign) – initial sampling design

  • initial_design_kwargs (Optional[dict]) – arguments passed to constructor of ~initial_design

  • initial_configurations (typing.List[Configuration]) – list of initial configurations for initial design – cannot be used together with initial_design

  • stats (Stats) – optional stats object

  • rng (np.random.RandomState) – Random number generator

  • run_id (int, (default: 1)) – Run ID will be used as subfolder for output_dir.

  • dask_client (dask.distributed.Client) – User-created dask client, can be used to start a dask cluster and then attach SMAC to it.

  • n_jobs (int, optional) – Number of jobs. If > 1 or -1, this creates a dask client if dask_client is None. Will be ignored if dask_client is not None. If None, this value will be set to 1, if -1, this will be set to the number of cpu cores.