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. If you would like to register your package in OptunaHub, please contribute by creating a pull request to the optunahub-registry repository.

Install

Install optunahub package.

pip install optunahub

Documentation

• 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)