AIF360 v0.5.0 Release Notes

Highlights

• New algorithms:
• FairAdapt
• New metrics:
• MDSS
• class_imbalance, kl_divergence, conditional_demographic_disparity
• intersection and one_vs_rest meta-metrics
• sklearn-compatible ports:
• differential fairness metrics
• MEPS, COMPAS violent
• RejectOptionClassification, LearnedFairRepresentations

New Features/Improvements

• Multidimensional subset scanning (MDSS) for bias in classifiers by @Viktour19 in https://github.com/Trusted-AI/AIF360/pull/238
• Update component.yaml to kfp v2 sdk by @yhwang in https://github.com/Trusted-AI/AIF360/pull/259
• Fairadapt inclusion in AIF360 by @dplecko in https://github.com/Trusted-AI/AIF360/pull/257
• Added a tutorial for advertising data by @barvek in https://github.com/Trusted-AI/AIF360/pull/310
• More sklearn-compatible algorithms by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/318
• Dataset Improvements by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/278
• array of sample-wise protected attributes may now be passed in prot_attr instead of an index label
• Method of the month (July) by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/324
• sklearn-compat additions by @mnagired in https://github.com/Trusted-AI/AIF360/pull/322
• add predict_proba to RejectOptionClassifier
• More sklearn-compatible metrics by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/290
• smoothed_edf, df_bias_amplification
• class_imbalance, kl_divergence, conditional_demographic_disparity
• intersection, one_vs_rest

Backwards-Incompatible Changes

• Add detectors api by @Adebayo-Oshingbesan in https://github.com/Trusted-AI/AIF360/pull/305
• version of bias_scan in aif360.metrics to be deprecated next release

Fixes

• Fixed computation of coefficient of variation in classification_metrics by @plankington in https://github.com/Trusted-AI/AIF360/pull/288
• Fix exponential gradient reduction without protected attribute (#267) by @jdnklau in https://github.com/Trusted-AI/AIF360/pull/268
• Remove caches due to excessive memory use by @Adebayo-Oshingbesan in https://github.com/Trusted-AI/AIF360/pull/317
• fix rpy2 crash bug by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/313
• Fix pipelining bug in fairlearn algorithms by @hoffmansc in https://github.com/Trusted-AI/AIF360/pull/323
• Optional tempeh, conditional imports by @DanielRyszkaIBM in https://github.com/Trusted-AI/AIF360/pull/338
• Restricting AdversarialDebiasing's trainable variables to current scope by @mfeffer in https://github.com/Trusted-AI/AIF360/pull/255
• Increasing max_iter to 1000 for LogisticRegression used in PrejudiceRemover by @mfeffer in https://github.com/Trusted-AI/AIF360/pull/254

New Contributors

• @Viktour19 made their first contribution in https://github.com/Trusted-AI/AIF360/pull/238
• @jdnklau made their first contribution in https://github.com/Trusted-AI/AIF360/pull/268
• @yhwang made their first contribution in https://github.com/Trusted-AI/AIF360/pull/259
• @dplecko made their first contribution in https://github.com/Trusted-AI/AIF360/pull/257
• @plankington made their first contribution in https://github.com/Trusted-AI/AIF360/pull/288
• @Adebayo-Oshingbesan made their first contribution in https://github.com/Trusted-AI/AIF360/pull/305
• @barvek made their first contribution in https://github.com/Trusted-AI/AIF360/pull/310
• @milevavantuyl made their first contribution in https://github.com/Trusted-AI/AIF360/pull/309
• @josue-rodriguez made their first contribution in https://github.com/Trusted-AI/AIF360/pull/315
• @DanielRyszkaIBM made their first contribution in https://github.com/Trusted-AI/AIF360/pull/338
• @mnagired made their first contribution in https://github.com/Trusted-AI/AIF360/pull/322
• @mfeffer made their first contribution in https://github.com/Trusted-AI/AIF360/pull/255

Full Changelog: https://github.com/Trusted-AI/AIF360/compare/v0.4.0...v0.5.0