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Home / v0.8.0
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README.md 2022-10-28 1.5 kB
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v0.8.0 source code.tar.gz 2022-10-28 1.1 MB
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v0.8.0 source code.zip 2022-10-28 1.3 MB
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Totals: 3 Items   2.4 MB 0
  • Relaxed checks made on X in _validate_and_reformat_input() since that is the concern of the underlying estimator and not Fairlearn.
  • Add support for Python 3.9 and 3.10, remove support for Python 3.6 and 3.7
  • Added error handling in MetricFrame. Methods group_max,group_min, difference and ratio now accept errors as a parameter, which could either be raise or coerce.
  • Fixed a bug whereby passing a customgrid object to aGridSearch reduction would result in a KeyError if the column names were not ordered integers.
  • fairlearn.preprocessing.CorrelationRemover now exposes n_features_in_ and feature_names_in_.
  • Added the ACSIncome dataset and corresponding documentation.
  • Add sphinxcontrib-bibtex extension to manage citations in documentation using bibtex.
  • Added support for explicitly specifying optimization objective in fairlearn.reductions.ExponentiatedGradient. Added support for cost sensitive classification in fairlearn.reductions.ErrorRate.
  • Internal performance improvements for fairlearn.metrics.MetricFrame. Some results may now have a more appropriate type thanobject, but otherwise the only visible difference should be a substantial speed increase.
  • Added fairlearn.metrics.plot_model_comparison to create scatter plots for comparing multiple models along two metrics.
  • Added adversarial mitigation approaches fairlearn.adversarial.AdversarialFairnessClassifier and fairlearn.adversarial.AdversarialFairnessRegressor.
Source: README.md, updated 2022-10-28