Transform and Unsupervised Data
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Description
Hello,
maybe I'm missing it, but is there the 'transform' function, i.e. after you trained the UMAP instance with data you can apply the same instance on an unseen point?
If not, why? And is it foreseen?
Thank you!
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 reviewing the UMAP instance API and how a fitted model handles new data. Determine whether transforming an unseen point is supported or what behavior a new transform operation would require; done means reaching a documented decision and an agreed implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100