autogluon / autogluon/autogluon
Multimodal - handling imbalanced data
Open
enhancement
module: multimodal
todo
- Dominant language
- Python
- Stars
- 10.7k
- Forks
- 1.2k
- Avg merge
- 21h 29m
- Merged PRs (30d)
- 57
Description
Hi just wanted to ask if the multimodal predictor in AutoGluon handles imbalanced datasets automatically? Thanks!
Contributor guide
Research direction
No file, test, or entry point is identified in the issue. Start by locating the multimodal predictor documentation and implementation, then determine whether imbalanced-data handling is documented or supported; done means providing a clear answer and updating the relevant documentation if needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100