alibaba / alibaba/FederatedScope
Support outlier detection
Open
enhancement
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 261
- PR merge metrics
- No merged PRs in 30d
Description
Maybe FS should allow to stop the training automatically if the `test_loss` is `NAN`, which is common during the hyper-parameter searching.
Contributor guide
No contributing guide indexed for this repository
Research direction
No files or tests are identified. Start by locating the training loop and the handling of test_loss, then trace how hyper-parameter searches report or stop trials. Done means training stops automatically when test_loss is NaN during the described search scenario.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100