tensorflow / tensorflow/tensorboard
Smoothing alternative
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
I want to see alternative to smoothing which aligns to minimum/maximum observed value at this step. This method would help in better capturing the extreme values that might be critical for fine-tuning and diagnosing the training process.
For example, no smoothing and suggested feature:
Contributor guide
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
No file or test is named. Start by locating TensorBoard’s existing smoothing implementation and the UI path for its smoothing control, then clarify how the proposed minimum/maximum alignment should be selected and displayed. Done means the alternative is available alongside current smoothing and its behavior is covered by the relevant tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100