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Come up with testinng framework for the open-source models
should include metrics for both classification and segmentation
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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The response of a model.find() object does not include the metrics object which can be found in the native nodeJS SDK, instead it comes through as undefined.
```
meta: QueryMetaData {
reque…
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Currently, the evaluate_model function focuses primarily on accuracy and F1-score for classification models, and MSE and R² for regression models. We could enhance this by including additional evaluat…
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@sanchit-gandhi
Where can I find faster-whisper model evaluation metrics? I don't see them on ASR leaderboard. Thanks!
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Do a light landscape analysis on gauging the "health" of open source metrics and identify potential metrics.
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Bug
I want to take a yolo …
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Recently, [Sakai (2021)](https://aclanthology.org/2021.acl-long.214) compared several class, numeric, and proposed "ordinal" performance measures/metrics on ordinal classification tasks. This raises t…
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### What is it?
Currently we have these legacy `code_metrics_by_project`, and `onchain_metrics_by_project` computed in dbt.
With the new metrics factory on sqlmesh, we should create new models. …
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Each time an LLM responds, it also outputs some info about its performance.
```
llama_print_timings: load time = 4732.44 ms
llama_print_timings: sample time = 86.82 ms / 48…