get_rng(rng: Optional[Union[int, numpy.random.mtrand.RandomState]] = None, run_id: Optional[int] = None, logger: Optional[logging.Logger] = None) → Tuple[int, numpy.random.mtrand.RandomState]¶
Initialize random number generator and set run_id
If rng and run_id are None, initialize a new generator and sample a run_id
If rng is None and a run_id is given, use the run_id to initialize the rng
If rng is an int, a RandomState object is created from that.
If rng is RandomState, return it
If only run_id is None, a run_id is sampled from the random state.
rng (np.random.RandomState|int|None) –
run_id (int, optional) –
logger (logging.Logger, optional) –
get_types(config_space: ConfigSpace.configuration_space.ConfigurationSpace, instance_features: Optional[numpy.ndarray] = None) → Tuple[List[int], List[Tuple[float, float]]]¶