v0.2.0

AIF360 v0.2.0 Release Notes

Highlights

New Algorithm:

• Meta-Algorithm for Fair Classification (Celis et al.. 2018)

New Features/Improvements

• Added download script for MEPS data
• Added ability to choose protected attribute for DisparateImpactRemover
• Updated OptimPreproc to use the latest version of cvxpy
• Added a threshold value to update labels from predicted scores in CalibratedEqOddsPostprocessing
• New scores_names arg in StructuredDataset allows for easier importing of predictions run elsewhere
• tutorial_gender_classification notebook now uses skimage instead of cv2
• aif360.__version__ now returns the correct version string

Fixes

• Changed Credit Scoring Tutorial to use Reweighing; added new demo using AdversarialDebiasing on Adult Dataset
• Removed dependency on subprocess.run in PrejudiceRemover for Python 2.7 compatibility
• Fixed bug where categorical_features would not take into account features_to_drop in StandardDataset

New Contributors

@ckadner, @cclauss, @vijaykeswani, @ffosilva, @kant, @adrinjalali, @mariaborbones