tensorflow / tensorflow/tensorboard
Integrate hparams with global run selection
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
I've been using the HParams feature for a couple of days now and it
would still be really great to link the Tail ID to the Runs as
otherwise the HParams tab is totally disconnected from Scalars.The HParams tab doesn't have the same overview of all runs like the
Scalars tab does. When I look at the results I start from the Scalars
tab and identify the runs that are doing well but then its very
difficult for me to find those runs in the HParams tab. Maybe it could
show the runs IDs when you select show metrics. Or you could filter by
run ID on the right side.
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
Start by reviewing the HParams and Scalars tabs and how they identify runs through the Tail ID. Trace the existing global run-selection flow, then define how a selection in Scalars should appear in HParams, including the requested run IDs or filtering behavior. Done means the same runs can be identified and selected across both tabs.
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