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skip aggregation for llm_as_judge
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1 changed files with 2 additions and 3 deletions
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@ -11,8 +11,6 @@ from llama_stack.apis.scoring import * # noqa: F401, F403
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from llama_stack.apis.common.type_system import * # noqa: F403
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import re
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from llama_stack.providers.utils.scoring.aggregation_utils import aggregate_average
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from .fn_defs.llm_as_judge_base import llm_as_judge_base
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@ -88,4 +86,5 @@ class LlmAsJudgeScoringFn(BaseScoringFn):
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async def aggregate(
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self, scoring_results: List[ScoringResultRow]
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) -> Dict[str, Any]:
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return aggregate_average(scoring_results)
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# TODO: this needs to be config based aggregation, and only useful w/ Jobs API
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return {}
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