NEWS

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mlr3measures 1.0.0 (2024-09-11)

• Added new measure linex (Linear-Exponential Loss).
• Added new measure pinball (Average Pinball Loss).
• Added new measure mauc_mu (Mu AUC).

mlr3measures 0.6.0 (2024-07-20)

• Added binary classification measures gmean and gpr.
• Added new measure mcc (Matthews Correlation Coefficient).

mlr3measures 0.5.0 (2022-08-05)

• Added some observation-wise loss functions: ae, ape, se, sle, and zero_one,

mlr3measures 0.4.1 (2022-01-13)

• Calculation of fbeta is now more numerically more stable.
• Improved documentation.

mlr3measures 0.4.0 (2021-09-26)

• 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 (2021-01-06)

• Fix edge case for msle and rmsle.

mlr3measures 0.3.0 (2020-10-05)

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

mlr3measures 0.2.0 (2020-06-27)

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

mlr3measures 0.1.3 (2020-04-01)

• 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 (2020-03-04)

• Fixed integer overflows in auc, dor and mcc.

mlr3measures 0.1.1 (2019-11-05)

• 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 (2019-10-28)

Initial release.