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Add seed option to SMAC #193

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merged 2 commits into from
Dec 4, 2024
Merged

Add seed option to SMAC #193

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81fa083
Add seed option to SMAC
nabenabe0928 Dec 2, 2024
2733097
Add a description of seed
nabenabe0928 Dec 3, 2024
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8 changes: 7 additions & 1 deletion package/samplers/smac_sampler/sampler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,6 +55,9 @@ class SMACSampler(optunahub.samplers.SimpleBaseSampler):
initial design.
This argument does not have to be precise, but it is better to be exact for better
performance.
seed:
Seed for random number generator.
If ``None`` is given, seed is generated randomly.
surrogate_model_type:
What model to use for the probabilistic model.
Either "gp" (Gaussian process), "gp_mcmc" (Gaussian process with MCMC), or "rf"
Expand Down Expand Up @@ -99,6 +102,7 @@ def __init__(
self,
search_space: dict[str, BaseDistribution],
n_trials: int = 100,
seed: int | None = None,
*,
surrogate_model_type: str = "rf",
acq_func_type: str = "ei_log",
Expand All @@ -113,7 +117,9 @@ def __init__(
) -> None:
super().__init__(search_space)
self._cs, self._hp_scale_value = self._convert_to_config_space_design_space(search_space)
scenario = Scenario(configspace=self._cs, deterministic=True, n_trials=n_trials)
scenario = Scenario(
configspace=self._cs, deterministic=True, n_trials=n_trials, seed=seed or -1
)
surrogate_model = self._get_surrogate_model(
scenario,
surrogate_model_type,
Expand Down
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