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Result¶

`gepa.optimize_anything.Result(best_candidate: str, best_score: float, total_evals: int = 0, eval_log: list[dict[str, Any]] = list(), metadata: dict[str, Any] = dict())` `dataclass` ¶

What an engine returns after optimization.

Attributes¶

`best_candidate: str` `instance-attribute` ¶

`best_score: float` `instance-attribute` ¶

`total_evals: int = 0` `class-attribute` `instance-attribute` ¶

`eval_log: list[dict[str, Any]] = field(default_factory=list)` `class-attribute` `instance-attribute` ¶

`metadata: dict[str, Any] = field(default_factory=dict)` `class-attribute` `instance-attribute` ¶

Methods:¶