tensorflow / tensorflow/tensorboard
Provide moving average smoother
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- Dominant language
- TypeScript
- Stars
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- Avg merge
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- Merged PRs (30d)
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Description
Currently, tensorboard has the ability to smooth scalar plots using an exponentially moving average (EMA). Although EMA is useful for visualizing trends in the scalar time series, many times a more appropriate smoother is simply a moving average (MA). Propose to implement MA smoother in tensorboard and have slider to control filter width. MA has the advantage of being a "memory-less" smoother which is quite useful when plotting.
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 tracing TensorBoard's existing EMA smoothing for scalar plots and the controls that expose its filter setting. Add a moving-average option with a slider for filter width, then verify that scalar plots update correctly across different widths.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 32/100