testbed/fairlearn__fairlearn/CHANGES.md

Changes

v0.4.3

• Various tweaks to GroupMetricResult and GroupMetricSet for AzureML integration

v0.4.2

• If methods such as predict are called before fit, sklearn's NotFittedError is raised instead of NotFittedException, and the latter is now removed.

v0.4.2, 2020-01-24

• Separated out matplotlib dependency into an extension that can be installed via pip install fairlearn[customplots].
• Added a GroupMetricSet class to hold collections of GroupMetricResult objects

v0.4.1, 2020-01-09

• Fix to determine whether operating as binary classifier or regressor in dashboard

v0.4.0, 2019-12-05

• Initial release of fairlearn dashboard

v0.3.0, 2019-11-01

• Major changes to the API. In particular the expgrad function is now implemented by the ExponentiatedGradient class. Please refer to the ReadMe file for information on how to upgrade

• Added new algorithms

  • Threshold Optimization
  • Grid Search

• Added grouped metrics

v0.2.0, 2018-06-20

• registered the project at PyPI

• changed how the fairness constraints are initialized (in fairlearn.moments), and how they are passed to the fair learning reduction fairlearn.classred.expgrad

v0.1, 2018-05-14

• initial release