tensorflow / tensorflow/fairness-indicators

Support for bias/unfairness mitigation for multiclass classification problems

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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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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