forked from phoenix-oss/llama-stack-mirror
as title, to let scoring function llm_as_judge_405b_simpleqa output aggregated_results. We can leverage categorical_count to calculate the % of correctness as eval benchmark metrics |
||
---|---|---|
.. | ||
agents | ||
datasetio | ||
eval | ||
inference | ||
ios/inference | ||
post_training | ||
safety | ||
scoring | ||
telemetry | ||
tool_runtime | ||
vector_io | ||
__init__.py |