optuna.create_study

optuna.create_study(*, storage=None, sampler=None, pruner=None, study_name=None, direction=None, load_if_exists=False, directions=None)[source]

Create a new Study.

Example

import optuna


def objective(trial):
    x = trial.suggest_float("x", 0, 10)
    return x**2


study = optuna.create_study()
study.optimize(objective, n_trials=3)

Parameters:

storage (str | storages.BaseStorage | None) –
Database URL. If this argument is set to None, in-memory storage is used, and the Study will not be persistent.

Note

When a database URL is passed, Optuna internally uses SQLAlchemy to handle the database. Please refer to SQLAlchemy’s document for further details. If you want to specify non-default options to SQLAlchemy Engine, you can instantiate RDBStorage with your desired options and pass it to the storage argument instead of a URL.
sampler ('samplers.BaseSampler' | None) – A sampler object that implements background algorithm for value suggestion. If None is specified, TPESampler is used during single-objective optimization and NSGAIISampler during multi-objective optimization. See also samplers.
pruner (pruners.BasePruner | None) – A pruner object that decides early stopping of unpromising trials. If None is specified, MedianPruner is used as the default. See also pruners.
study_name (str | None) – Study’s name. If this argument is set to None, a unique name is generated automatically.
direction (str | StudyDirection | None) –
Direction of optimization. Set minimize for minimization and maximize for maximization. You can also pass the corresponding StudyDirection object. direction and directions must not be specified at the same time.

Note

If none of direction and directions are specified, the direction of the study is set to “minimize”.
load_if_exists (bool) – Flag to control the behavior to handle a conflict of study names. In the case where a study named study_name already exists in the storage, a DuplicatedStudyError is raised if load_if_exists is set to False. Otherwise, the creation of the study is skipped, and the existing one is returned.
directions (Sequence[str | StudyDirection] | None) – A sequence of directions during multi-objective optimization. direction and directions must not be specified at the same time.

Returns:

A Study object.

Return type:

Study