Relaxed checks made on
_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
Added error handling in
errorsas a parameter, which could either be
Fixed a bug whereby passing a custom
gridobject to a
GridSearchreduction would result in a
KeyErrorif the column names were not ordered integers.
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
ExponentiatedGradient. Added support for cost sensitive classification in
Internal performance improvements for
MetricFrame. Some results may now have a more appropriate type than
object, but otherwise the only visible difference should be a substantial speed increase.
plot_model_comparison()to create scatter plots for comparing multiple models along two metrics.
Added adversarial mitigation approaches