UMAP alignment
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- Dominant language
- Python
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Description
Given a set of words I have:
embedding vectors
one-hot CSV with X:words Y:categories
Does UMAP have functions to align the two by token? I could swear UMAP had acquired alignment functions but Google is looking at me funny.
Can the "Y:categories" word vec embeddings have an influence as well?
Contributor guide
Research direction
Start by checking UMAP's existing public APIs and documentation for alignment by token between embedding vectors and the one-hot CSV's word/category columns. Determine whether category embeddings can influence the result, and define done as either documenting the existing workflow or specifying the required alignment feature and its expected inputs.
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
- Needs clarification
- Newbie friendliness
- 25/100