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 | ||