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 multiclass mcc.

mlr3measures 0.5.0

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

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 0.3.0

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

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 0.1.1

• 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

v0.1.0

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