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Home / v0.9.0
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README.md 2023-07-28 1.3 kB
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v0.9.0 source code.tar.gz 2023-07-28 1.1 MB
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v0.9.0 source code.zip 2023-07-28 1.3 MB
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Totals: 3 Items   2.4 MB 0
  • Added Credit Loan Decisions example notebook.
  • Bugfix for fairlearn.metrics.selection_rate to handle TypeError when input is scalar.
  • Added support for pickling classes in fairlearn.reductions.
  • Bugfix for sklearn.preprocessing.OneHotEncoder in fairlearn.adversarial to ensure compatibility with scikit-learn 1.2.
  • Set default value of parser of sklearn.datasets.fetch_openml in fairlearn.datasets to liac-arff to match behavior before scikit-learn 1.2.
  • Replace calculations in fairlearn.reductions by matrix multiplication which can lead to substantial speed-ups for fairlearn.reductions.ExponentiatedGradient for simple estimators like logistic regression.
  • Added as_frame (with default True) argument to fairlearn.datasets.fetch_diabetes_hospital.
  • Changed as_frame default to True for all remaining datasets.
  • Changed fairlearn.metrics.MetricFrame so that all results (including aggregations) are computed in the constructor and then cached.
  • Bugfix for fairlearn.adversarial that changes the loss function NLLLoss to CrossEntropyLoss.
  • Various documentation tweaks and enhancements, including restructuring of the user guide and breaking out information in the API reference to separate pages.
Source: README.md, updated 2023-07-28