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.