multi-label learning with orange
Open
- Dominant language
- Python
- Stars
- 304
- Forks
- 142
- PR merge metrics
- No merged PRs in 30d
Description
Hello, everyone:
when I come to deal with the problem that an instance is related with 2 or more labels, what should I do? deadly hope that someone can help me, Thanks a lot!!!
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue asks how Orange 2 handles instances associated with multiple labels, but names no files, tests, or entry points. Start by checking the project's classification and data-model documentation or source, then determine whether multi-label learning is supported and what a complete solution would require.
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
- 15/100