Add smarter training data warnings to `ExecutionData`
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- Dominant language
- C#
- Stars
- 3
- Forks
- 2
- Avg merge
- 3d 1h
- Merged PRs (30d)
- 3
Description
There may be smarter kinds of data warnings Serval could provide other than a generic very-little-training-data warning:
- Add a warning if a book is selected for training but it's under a certain threshold of percent completeness
- Add a warning if below a certain threshold of available data is being used
...
It may be that there's no generally helpful warning like this. If we can't provide a warning, is there any additional information that Serval is best-positioned to calculate that may be helpful when debugging issues related to the corpus set-up?
Contributor guide
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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 reading the ExecutionData entry point and the related issue #772. Determine which corpus completeness and available-data values Serval can calculate reliably, then define warnings or diagnostic information with clear thresholds and expected behavior. Done means the proposed behavior is agreed and covered by the relevant tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp
- Domain
- backend-api-design
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100