metric_scale
Open
Nobody has claimed this yet.
- Dominant language
- JavaScript
- Stars
- 3k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Description
I found that the metric_scale prediction result has no corresponding supervision function. Doesn’t this lead to scale errors in the estimation?
Contributor guide
No contributing guide indexed for this repository
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 tracing the metric_scale prediction result and looking for its corresponding supervision function in the repository. Check how the prediction is used in estimation and whether the missing supervision could cause scale errors. Done means the scale handling is consistent and the issue's concern is addressed with suitable validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100