# mlr3measures 0.5.0

* Added some observation-wise loss functions: `ae()`, `ape()`, `se()`, 
  `sle()`, and `zero_one()`, 

# mlr3measures 0.4.1

* Calculation of `fbeta` is now more numerically more stable.
* Improved documentation.


# mlr3measures 0.4.0

* New measures to calculate set similarities: `jaccard` and `phi`.
* Many measures now support sample weights.
  Supported measures have `$sample_weights` set to `TRUE` in the `measures`
  environment.


# mlr3measures 0.3.1

* Fix edge case for `msle` and `rmsle`.

# mlr3measures 0.3.0

* New measure `prauc` (area under precision-recall curve) (#22) implemented in
  package `PRROC`.
* Removed dependency on orphaned package `bibtex`.

# mlr3measures 0.2.0

* New measures: `mauc_au1p`, `mauc_au1u`, `mauc_aunp`, and `mauc_aunu`.
* Fixed noLD check warnings.

# mlr3measures 0.1.3

* Added a `packageStartupMessage()` advising against attaching this package.
* Added new measure `bbrier` (binary Brier Score).
* Added new measure `mbrier` (multi-class Brier Score).
* Improved numerical stability for measure `mcc`.

# mlr3measures 0.1.2

* Fixed integer overflows in `auc`, `dor` and `mcc`.

# mlr3measures 0.1.1

* Added new measure `bacc` (Balanced Accuracy).
* Fixed some tests which stochastically failed.
* The name of the measure is now also stored in the meta data.

# mlr3measures 0.1.0

Initial release.
