feb60bf8c5e8e2ec480b265ab047547856227f76,examples/dask_ml_simple.py,,,#,50

Before Change


    cluster = LocalCluster(n_workers=4, threads_per_worker=2, local_directory="/tmp")
    client = Client(cluster)
    import optuna
    study = optuna.create_study(direction="maximize")
    study.optimize(objective, n_trials=100)
    print(study.best_trial)

After Change



if __name__ == "__main__":
    import optuna
    study = optuna.create_study(direction="maximize")

    // This is used to initialize the workers that will be used by Dask-ML
    cluster = LocalCluster(n_workers=4, threads_per_worker=2, local_directory="/tmp")
    with Client(cluster) as client:
        study.optimize(objective, n_trials=100)

        print("Number of finished trials: ", len(study.trials))

        print("Best trial:")
        trial = study.best_trial

        print("  Value: ", trial.value)

        print("  Params: ")
        for key, value in trial.params.items():
            print("    {}: {}".format(key, value))
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 21

Instances


Project Name: pfnet/optuna
Commit Name: feb60bf8c5e8e2ec480b265ab047547856227f76
Time: 2019-08-22
Author: Anes.Benmerzoug@gmail.com
File Name: examples/dask_ml_simple.py
Class Name:
Method Name:


Project Name: pfnet/optuna
Commit Name: 402e0fefeffe748dfe1a049f86da02e536b9a0b2
Time: 2020-09-17
Author: toshihiko.yanase@gmail.com
File Name: examples/xgboost_simple.py
Class Name:
Method Name:


Project Name: pfnet/optuna
Commit Name: afeb9d3d4e6e469a61358f91bf68398c711bbc62
Time: 2020-02-21
Author: himkt@cookpad.com
File Name: examples/allennlp_simple.py
Class Name:
Method Name: