Pre-release
This release is a pre-release and may not be stable for production use.
OptunaHub
NOTICE: OptunaHub is under development and all features are experimental. API may change in the future.
Python Library to use packages published in OptunaHub Registry.
Install
Install optunahub package.
pip install optunahub
Documentation
Example
import optunahub
import optuna
def objective(trial: optuna.Trial) -> float:
x = trial.suggest_float("x", 0, 1)
return x
if __name__ == "__main__":
mod = optunahub.load_module("samplers/simulated_annealing")
sampler = mod.SimulatedAnnealingSampler()
study = optuna.create_study(sampler=sampler)
study.optimize(objective, n_trials=20)
print(study.best_trial.value, study.best_trial.params)
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