lmcinnes / lmcinnes/umap

Mixed-type datasets

Open
#58 34 comments 1 reaction 0 assignees View on GitHub
Dominant language
Python
Stars
8.3k
Forks
871
Avg merge
1d 13h
Merged PRs (30d)
5

Description

Thanks for sharing the great algorithm and library!

Wondering what would be the recommended way of feeding mixed-type data with some categorical features to UMAP? Binary encoding (possibly with appropriate distance metrics)?

Contributor guide

Open the contributing guide

Research direction

The issue names no files, tests, or entry points. First determine how UMAP currently accepts input data and distance metrics, then establish whether mixed categorical and numerical features require a documented workflow or a library change. Done would require a clear, validated recommendation for mixed-type datasets.

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
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.