Add route to allow users to see supported eval run metrics#62
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freddiev4
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Jan 31, 2025
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Very nice! I’ve got one request below
quotientai/cli/entrypoint.py
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| def list_metrics(): | ||
| try: | ||
| quotient = QuotientAI() | ||
| response = quotient.runs.list_metrics() |
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Can we make this a separate resource and follow the same pattern the other resources follow?
e.g.
models = quotient.models.list()
that way we have a consistent API across all the different methods
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I’d also expect to be able to run
quotient list metrics
from the CLI
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Also can you paste the output of the CLI command? |
freddiev4
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Jan 31, 2025
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Outputs:
['answer_correctness_ragas', 'answer_relevance_ragas', 'context_recall_ragas', 'chunk_relevance', 'bertscore', 'exactmatch', 'faithfulness_ragas', 'faithfulness_selfcheckgpt', 'f1score', 'jaccard_similarity', 'knowledge_f1score', 'meteor', 'normalized_exactmatch', 'retrieval_at_k', 'rouge_for_context', 'rouge1', 'rouge2', 'rougeL', 'rougeLsum', 'sacrebleu', 'sentence_tranformers_similarity', 'verbosity_ratio']
Screenshot:
