tensorflow / tensorflow/tensorboard
filter runs by scalar value
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- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
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- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
Feature request:
Support filtering runs by scalar value.
For example, I have a scalar summary called accuracy that I care about. I run a sweep of 300 runs, and I'm browsing the results in tensorboard. I'd like to be able to filter the runs to show only those with accuracy >= 0.80. Currently I can filter by directory name, which is helpful, but it can still be really difficult to filter out just the low accuracy runs.
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, test, or entry point is named. Start by locating the existing directory-name run filtering and the scalar summary browsing path; the work is done when users can filter runs by a scalar comparison such as accuracy >= 0.80 and the matching runs are shown consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100