optuna.trial.FrozenTrial

class optuna.trial.FrozenTrial(number: int, state: TrialState, value: Optional[float], datetime_start: Optional[datetime.datetime], datetime_complete: Optional[datetime.datetime], params: Dict[str, Any], distributions: Dict[str, BaseDistribution], user_attrs: Dict[str, Any], system_attrs: Dict[str, Any], intermediate_values: Dict[int, float], trial_id: int)

Status and results of a Trial.

number

Unique and consecutive number of Trial for each Study. Note that this field uses zero-based numbering.

state

TrialState of the Trial.

value

Objective value of the Trial.

datetime_start

Datetime where the Trial started.

datetime_complete

Datetime where the Trial finished.

params

Dictionary that contains suggested parameters.

user_attrs

Dictionary that contains the attributes of the Trial set with optuna.trial.Trial.set_user_attr().

intermediate_values

Intermediate objective values set with optuna.trial.Trial.report().

__init__(number: int, state: TrialState, value: Optional[float], datetime_start: Optional[datetime.datetime], datetime_complete: Optional[datetime.datetime], params: Dict[str, Any], distributions: Dict[str, BaseDistribution], user_attrs: Dict[str, Any], system_attrs: Dict[str, Any], intermediate_values: Dict[int, float], trial_id: int) → None

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(number, state, value, …)

Initialize self.

Attributes

distributions	Dictionary that contains the distributions of params.
duration	Return the elapsed time taken to complete the trial.
last_step

property distributions

Dictionary that contains the distributions of params.

property duration

Return the elapsed time taken to complete the trial.

Returns

The duration.