tensorflow / tensorflow/tensorboard
Discretization and smoothing
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plugin:time-series
- Dominant language
- TypeScript
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Description
When there is a lot of steps recorded, tensorboard uses discretization for optimization. It is unexpected loss of information, but it's fine. However, when using EMA smoothing, differently discretized time series produces different smoothing result.
Related #5870.
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 with the issue description and screenshot, then read related issue #5870. Locate the TensorBoard code responsible for scalar-series discretization and EMA smoothing, compare the smoothing results for differently discretized series, and confirm that the discrepancy is resolved without losing the intended optimization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100