tensorflow / tensorflow/tensorboard
End-user data access APIs or export
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- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
TensorBoard consumes data stored in “event files”, which are written by
TensorFlow programs during training. The event file format is opaque and
hard to inspect, and the interpretation of the data has changed over
time. The only way that people can reliably access the data in event
files is via TensorBoard itself. But this precludes a lot of useful
functionality. It would be great if TensorBoard could provide easier
programmatic access to data in formats that users are more likely to be
familiar and comfortable with, like Pandas dataframes or CSV/JSON
tables.
(This is a long-standing feature request, but I can’t find a tracking
issue, so I’m opening this. Feel free to dedupe if there’s prior art.)
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 files, tests, or entry points are identified in the issue. Start by reviewing how TensorBoard reads event files and the prior discussion around programmatic access; done would mean a documented, usable way to retrieve event data in a familiar tabular format such as Pandas, CSV, or JSON.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, tensorflow, typescript
- Domain
- api, data, data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100