Tracker

systematica.tuners.sqlite.tracker

SQLiteOptunaTracker

SQLiteOptunaTracker(
    init_kwargs: Dict[str, Any] = _Nothing.NOTHING,
    log_kwargs: Dict[str, Any] = _Nothing.NOTHING,
    add_configs: Dict[str, Any] = _Nothing.NOTHING,
)

SQLite-enabled optimization execution tracker.

Uses Optuna’s native SQLite RDBStorage for all optimization data. Custom systematica metadata (feature_config, notes, etc.) is stored in Optuna’s study_user_attributes table for dashboard visibility.

Method generated by attrs for class SQLiteOptunaTracker.

Ancestors

• systematica.tuners.base.BaseTracker
• abc.ABC

Class variables

• engine: Any: SQLAlchemy engine instance. Defaults to None.

• session_cls: Any: SQLAlchemy session factory.

Instance variables

• url: str: Engine storage URL.

Methods

run_context

run_context(
    self,
    **kwargs,
) ‑> Dict[str, Any]

Context manager for SQLite run.

Parameters:

Name	Type	Default	Description
kwargs	tp.Kwargs	--	Additional arguments.

Yields:

Type	Description
dict	Dictionary with ‘storage’ (Optuna RDBStorage) and ‘session’ (SQLAlchemy Session).

run_study

run_study(
    self,
    objective: Callable,
    create_study_kwargs: Dict[str, Any],
    optimize_kwargs: Dict[str, Any],
) ‑> optuna.study.study.Study

Run Optuna study with SQLite tracking.

Parameters:

Name	Type	Default	Description
objective	callable	--	Objective function to optimize.
create_study_kwargs	tp.Kwargs	--	Arguments for optuna.create_study(). Must include study_name.
optimize_kwargs	tp.Kwargs	--	Arguments for study.optimize().

Returns:

Type	Description
optuna.Study	Completed Optuna study.