def __init__(
self,
epsilon=0.01, # type: float
time_kernel='Bogunovic', # type: str
space_kernel='Matern52', # type: str
g_kernel='Matern52', # type: str
consider_ARD=False, # type: bool
acquisition_optimizer_type='lbfgs', # type: str
acquisition_type='Continuous_Time_Varying_MCMC', # type: str
base_acquisition_type='LCBforCTV_MCMC', # type: str
n_startup_trials=10, # type: int
seed=None, # type: Optional[int]
**kwargs # type: Any
):
# type: (...) -> None
self.domains = {}
self.funcs = {}
self.domain_without_time = {}
self.epsilon = epsilon
self.time_kernel = time_kernel
self.space_kernel = space_kernel
self.g_kernel = g_kernel
self.consider_ARD = consider_ARD
self.acquisition_type = acquisition_type
self.base_acquisition_type = base_acquisition_type
self.acquisition_optimizer_type = acquisition_optimizer_type
self.n_startup_trials = n_startup_trials
self.seed = seed
self.kwargs = kwargs
self.rng = np.random.RandomState(seed)
self.random_sampler = random.RandomSampler(seed=seed)
def __init__(
self,
consider_prior=True, # type: bool
prior_weight=1.0, # type: float
consider_magic_clip=True, # type: bool
consider_endpoints=False, # type: bool
n_startup_trials=10, # type: int
n_ei_candidates=24, # type: int
gamma=default_gamma, # type: Callable[[int], int]
weights=default_weights, # type: Callable[[int], np.ndarray]
seed=None # type: Optional[int]
):
# type: (...) -> None
self.parzen_estimator_parameters = ParzenEstimatorParameters(
consider_prior, prior_weight, consider_magic_clip,
consider_endpoints, weights)
self.prior_weight = prior_weight
self.n_startup_trials = n_startup_trials
self.n_ei_candidates = n_ei_candidates
self.gamma = gamma
self.weights = weights
self.seed = seed
self.rng = np.random.RandomState(seed)
self.random_sampler = random.RandomSampler(seed=seed)
def __init__(
self,
epsilon=0.01, # type: float
time_kernel='Bogunovic', # type: str
space_kernel='Matern52', # type: str
consider_ARD=False, # type: bool
acquisition_type='Adaptive_LCB_MCMC', # type: str
n_startup_trials=10, # type: int
seed=None, # type: Optional[int]
**kwargs # type: Any
):
# type: (...) -> None
self.domains = {}
self.funcs = {}
self.epsilon = epsilon
self.time_kernel = time_kernel
self.space_kernel = space_kernel
self.consider_ARD = consider_ARD
self.acquisition_type = acquisition_type
self.n_startup_trials = n_startup_trials
self.seed = seed
self.kwargs = kwargs
self.rng = np.random.RandomState(seed)
self.random_sampler = random.RandomSampler(seed=seed)
