Created
July 14, 2020 05:21
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Validation code for optuna/optuna PR1514
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| import logging | |
| import os | |
| import optuna | |
| logging.basicConfig() | |
| logging.getLogger("sqlalchemy.engine").setLevel(logging.INFO) | |
| def f(x): | |
| return (x - 3) ** 2 | |
| # Objective function | |
| def optuna_objective(trial): | |
| x = trial.suggest_uniform("x", -10, 10) | |
| y = f(x) | |
| nodename = os.uname().nodename | |
| trial.set_user_attr("nodename", nodename) | |
| print("x=%8.3f, y=%8.3f" % (x, y)) | |
| return y | |
| # Entry point | |
| def main(): | |
| # Create a study | |
| study = optuna.create_study( | |
| study_name="test_optuna_collision_01", | |
| storage=os.environ["OPTUNA_SQL"], # Set a remote PostgreSQL server | |
| load_if_exists=True, | |
| direction="minimize", | |
| ) | |
| # Run optimization | |
| study.optimize(optuna_objective, n_trials=20) | |
| # Visualize the result | |
| print(" # %8s %8s %8s %28s" % ("x", "y", "NODENAME", "STARTED")) | |
| for trial in study.trials: | |
| try: | |
| x = "%8.3f" % trial.params["x"] | |
| y = "%8.3f" % (trial.value or -1) | |
| if trial.value is None: | |
| print("NO_VALUE: ", trial.number) | |
| nodename = trial.user_attrs["nodename"] | |
| started = trial.datetime_start | |
| except (KeyError, AttributeError): | |
| x = "" | |
| y = "" | |
| nodename = "" | |
| started = "" | |
| print("%3d: %s %s %8s %28s" % (trial.number, x, y, nodename, started)) | |
| if __name__ == "__main__": | |
| main() |
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