metric_scale
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- javascript
- Domain
- computer-vision, machine-learning
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.
Description
I found that the metric_scale prediction result has no corresponding supervision function. Doesn’t this lead to scale errors in the estimation?
- Dominant language
- JavaScript
- Stars
- 3k
- Forks
- 241
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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