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mlr3measures 1.0.0

• 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

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

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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