mlr3measures 1.3.0

• feat: auc() gains sample_weights for weighted AUC.
• feat: Confusion matrix based measures gain sample_weights (#71).
• feat: mbrier() and smape() gain sample_weights (#72).

mlr3measures 1.2.0

• feat: Add observation-wise loss functions for bbrier and logloss.

mlr3measures 1.1.0

• fix: Define bias measures correctly.
• BREAKING CHANGE: Deprecate rse, rsq, rrse, and rae.
• feat: Measures sae and sse gain sample_weights (unnormalized weights).

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 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.