optuna.trial.create_trial¶

optuna.trial.create_trial(*, state: Optional[optuna.trial._state.TrialState] = None, value: Optional[float] = None, params: Optional[Dict[str, Any]] = None, distributions: Optional[Dict[str, optuna.distributions.BaseDistribution]] = None, user_attrs: Optional[Dict[str, Any]] = None, system_attrs: Optional[Dict[str, Any]] = None, intermediate_values: Optional[Dict[int, float]] = None) → optuna.trial._frozen.FrozenTrial[source]¶

Create a new FrozenTrial.

Example

import optuna
from optuna.distributions import CategoricalDistribution
from optuna.distributions import UniformDistribution

trial = optuna.trial.create_trial(
    params={"x": 1.0, "y": 0},
    distributions={
        "x": UniformDistribution(0, 10),
        "y": CategoricalDistribution([-1, 0, 1]),
    },
    value=5.0,
)

assert isinstance(trial, optuna.trial.FrozenTrial)
assert trial.value == 5.0
assert trial.params == {"x": 1.0, "y": 0}