Experiment-based configuration and result tracker
- Dominant language
- Python
- Stars
- 670
- Forks
- 183
- Avg merge
- 15h 13m
- Merged PRs (30d)
- 368
Description
Something like https://github.com/IDSIA/sacredLet's build an extension to Backend.AI kernels upon Sacred or something a derivative to monitor long-running computations.
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JIRA Issue: BA-339
Contributor guide
Research direction
Start by studying the Backend.AI kernel extension points and the Sacred project referenced in the issue. Determine how experiment configuration and long-running computation results should be represented and monitored. Done means an agreed design and working integration, but the issue does not identify files, tests, or concrete acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, distributed-systems, observability
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100