def get_hyperband_tuner(
matrix: V1Hyperband,
configs: List[Dict],
metrics: List[float],
iteration: int,
container: V1Container = None,
) -> V1Operation:
container = container or get_default_tuner_container(
["polyaxon", "tuner", "hyperband"])
return get_tuner(
name="hyperband-tuner",
container=container,
matrix=matrix,
configs=configs,
metrics=metrics,
iteration=iteration,
)
def get_bo_tuner(
matrix: V1Bayes,
configs: List[Dict],
metrics: List[float],
iteration: int,
container: V1Container = None,
) -> V1Operation:
container = container or get_default_tuner_container(
["polyaxon", "tuner", "bo"])
return get_tuner(
name="bayesian-tuner",
container=container,
matrix=matrix,
configs=configs,
metrics=metrics,
iteration=iteration,
)
def get_hyperopt_tuner(
parallel: V1Hyperopt,
configs: List[Dict],
metrics: List[float],
iteration: int,
container: V1Container = None,
) -> V1Operation:
container = container or get_default_tuner_container(
["polyaxon", "tuner", "hyperopt"])
return get_tuner(
name="hyperopt-tuner",
container=container,
parallel=parallel,
configs=configs,
metrics=metrics,
iteration=iteration,
)