| # 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](readme.md) 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](https://pypi.org/) | |
| * 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 | |