Gradient color map for numerical values in embedding projector
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- typescript
- Domain
- data-visualization, frontend
Research direction
Start by reproducing the behavior in the Embedding Projector at projector.tensorflow.org with the Iris and GNMT Interlingua datasets. Compare how numerical features are currently rendered as categorical or gradient colors, then define the option and verify that numerical values can be displayed with a gradient color map.
Written by the indexing model from the issue text.
Description
In https://projector.tensorflow.org, numerical values are sometimes only visualized using a categorical color map. E.g., in the Iris example dataset, features like sepal length cannot be displayed using a gradient color map.
In contrast, for the GNMT Interlingua dataset, some features can be displayed using a gradient color map.
I would find an option to display numerical values using a gradient color map helpful.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
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.
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