from functools import partial
from syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms.base_classes import (
AcquisitionFunctionConstructor,
)
from syne_tune.optimizer.schedulers.searchers.bayesopt.models.meanstd_acqfunc_impl import (
EIAcquisitionFunction,
LCBAcquisitionFunction,
)
SUPPORTED_ACQUISITION_FUNCTIONS = (
"ei",
"lcb",
)
[docs]
def acquisition_function_factory(name: str, **kwargs) -> AcquisitionFunctionConstructor:
assert (
name in SUPPORTED_ACQUISITION_FUNCTIONS
), f"name = {name} not supported. Choose from:\n{SUPPORTED_ACQUISITION_FUNCTIONS}"
if name == "ei":
return EIAcquisitionFunction
else: # name == "lcb"
kappa = kwargs.get("kappa", 1.0)
return partial(LCBAcquisitionFunction, kappa=kappa)