skip aggregation for llm_as_judge

This commit is contained in:
Xi Yan 2024-11-14 17:50:46 -05:00
parent bba6edd06b
commit 2eab3b7ed9

View file

@ -11,8 +11,6 @@ from llama_stack.apis.scoring import * # noqa: F401, F403
from llama_stack.apis.common.type_system import * # noqa: F403
import re
from llama_stack.providers.utils.scoring.aggregation_utils import aggregate_average
from .fn_defs.llm_as_judge_base import llm_as_judge_base
@ -88,4 +86,5 @@ class LlmAsJudgeScoringFn(BaseScoringFn):
async def aggregate(
self, scoring_results: List[ScoringResultRow]
) -> Dict[str, Any]:
return aggregate_average(scoring_results)
# TODO: this needs to be config based aggregation, and only useful w/ Jobs API
return {}