mlcommons / mlcommons/modelbench
Make it obvious if annotator is not deployed successfully
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 134
- Forks
- 36
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 17
Description
This issue has no description.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the annotator deployment entry point in the ModelBench code and tracing how deployment success or failure is currently reported. Determine where an unsuccessful deployment can be surfaced clearly, then verify the result with the relevant deployment or annotator checks available in the repository.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- devops
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100