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Improve efficiency of acquisition function optimization (#954) #1275

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Improve efficiency of acquisition function optimization (#954) #1275

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9 changes: 9 additions & 0 deletions smac/acquisition/maximizer/local_and_random_search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,11 @@ class LocalAndSortedRandomSearch(AbstractAcquisitionMaximizer):
The ratio of random samples that are taken from the user-defined ConfigurationSpace, as opposed to the uniform
version (needs `uniform_configspace`to be defined).
seed : int, defaults to 0
n_jobs_ls: int, defaults to 1
Number of parallel jobs used when performing local search. If 1, the search is serial.
If >1, multiple starting points are evaluated in parallel.
exchange_size_ls: int, defaults to 1
Number of Hyperparameters changed by one step of the Local Search
"""

def __init__(
Expand All @@ -61,6 +66,8 @@ def __init__(
seed: int = 0,
uniform_configspace: ConfigurationSpace | None = None,
prior_sampling_fraction: float | None = None,
n_jobs_ls: int = 1,
exchange_size_ls: int = 1,
) -> None:
super().__init__(
configspace,
Expand Down Expand Up @@ -98,6 +105,8 @@ def __init__(
max_steps=max_steps,
n_steps_plateau_walk=n_steps_plateau_walk,
seed=seed,
n_jobs=n_jobs_ls,
exchange_size=exchange_size_ls,
)

self._local_search_iterations = local_search_iterations
Expand Down
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