v0.9.0

• Added Credit Loan Decisions example notebook.

• Bugfix for 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 ExponentiatedGradient for simple estimators like logistic regression.

• Added as_frame (with default True) argument to fetch_diabetes_hospital().

• Changed as_frame default to True for all remaining datasets.

• Changed 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.