tensorflow / tensorflow/tensorboard
feature request: allow selection of step range in histogram visualization
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
Currently the histogram have a default range and sampling mechanism for the training steps axis. It would be great if some mechanism is added to allow choosing the range of steps to visualize, just like what we can do in scalar plots.
The rationale is that it is quite common to continue training for a while after convergence. In this case, the default range and sampling mechanism will mostly show histograms after convergence. On the other hand, the range from the beginning to convergence might be more interesting to the researchers to investigate. Allowing the users to specify the range will make the tool a lot more useful.
Alternatively, it could at least allow the users to export the data points (just like the scalar plots) so that the users can do their own visualization to choose the range.
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
Review the existing scalar-plot range selection and data-export behavior, then locate the histogram visualization entry point. Done means histogram users can choose a training-step range, or export histogram data so they can select the range independently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100