tensorflow / tensorflow/fairness-indicators
Support for bias/unfairness mitigation for multiclass classification problems
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 358
- Forks
- 88
- PR merge metrics
- No merged PRs in 30d
Description
Do fairness-indicators support bias/unfairness measurement and mitigation also in multiclass classification use cases?
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
The issue names no files, tests, or entry points. Start by reviewing the existing fairness-indicators support for classification measurement and mitigation, then define how multiclass cases should be handled. Done means an agreed scope and implementation with tests covering multiclass measurement and mitigation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100