optuna.study.load_study

optuna.study.load_study(*, study_name, storage, sampler=None, pruner=None)[源代码]

加载具有指定名称的现有 Study。

示例

import optuna


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


study = optuna.create_study(storage="sqlite:///example.db", study_name="my_study")
study.optimize(objective, n_trials=3)

loaded_study = optuna.load_study(study_name="my_study", storage="sqlite:///example.db")
assert len(loaded_study.trials) == len(study.trials)

参数:

study_name (str | None) – Study’s name. Each study has a unique name as an identifier. If None, checks whether the storage contains a single study, and if so loads that study. study_name is required if there are multiple studies in the storage.
storage (str | storages.BaseStorage) – 数据库URL，例如 sqlite:///example.db。更多详情请参阅 create_study() 的文档。
sampler ('samplers.BaseSampler' | None) – A sampler object that implements background algorithm for value suggestion. If None is specified, TPESampler is used as the default. 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.

返回:

一个 Study 对象。

返回类型:

Study

参见

optuna.load_study() 是 optuna.study.load_study() 的别名。