- Added pre-processing bias mitigation techniques:
- Disparate Impact Remover (Clustering - Regression - Recommender - Classification)
- Added in-processing bias mitigation techniques:
- Two side fairness (Recommender)
- Fair Score Classification (Multiclass)
- Added post-processing bias mitigation techniques:
- MCMF Clustering (Clustering)
- Debiasing Exposure (Recommender)
- Popularity Propensity (Recommender)
- Blind Spot Aware (Recommender)
- Fair Top-K (Recommender)
- Added Recommender model
- Non Negative Matrix Factorization
- Add Recommender Utils
- Item Selectors
- Added Dataset
- Recruitment (Synthetic)
- Tutorials
- Added binary classification bias metrics:
- z_test_diff: z-score statistic for statistical parity (2SD rule)
- z_test_ratio: z-score statistic for disparate impact (2SD rule for ratio)
- Added pre-processing bias mitigation techniques:
- Correlation Remover (Regression, Multiclass and Binary classification)
- Fairlet Clustering (Regression)
- Vanilla
- Scalable
- Added in-processing bias mitigation techniques:
- Prejudice Remover (Regression)
- Meta adversarial debiasing [pytorch] (Binary classification)
- Grid Search
- Bounded group loss (Regression)
- Variational Fair Clustering (Clustering)
- Fairlet Clustering (Clustering)
- Vanilla
- Scalable
- k-center clustering (Clustering)
- k-median clustering (Clustering)
- Local Search
- Genetic Algorithm
- Meta fair classifier (Binary and Regression)
- Added post-processing bias mitigation techniques:
- Wasserstein Barycenters (Regression)
- Plugin Estimator and Recalibration (Regression)
- ML debiaser (Binary and Multiclass classification)
- PL Debiaser (Binary and Multiclass classification)
- Added new dataset: US crime
- Updated the recommender systems tutorial for measuring bias
- Updated ReadMe file
- Added docs folder
- Added support of Read the docs
- add bias metrics (holisticai.bias.metrics)
- add mitigation techniques (holisticai.bias.mitigation)
- add bias plotting tools (holisticai.bias.plots)
- add tutorials for measuring bias (tutorials/measuring_bias_tutorials)
- add tutorials for mitigating bias (tutorials/mitigating_bias_tutorials)
- create repository