Changelog
Source:NEWS.md
mlr3viz (development version)
- feat: Allow passing parameters to
precrec::autoplot()
(egshow_cb
) when plottingBenchmarkResult
andResampleResult
objects, usingtype
=roc
orprc
. - refactor: Wrong
type
inautoplot
s now gives hints of which ones to use. - refactor: Update
EnsembleFSResult.autoplot
to use theactive_measure
field.
mlr3viz 0.9.0
CRAN release: 2024-07-01
- Work with new bbotk 0.9.0 and mlr3tuning 0.21.0
- Add plots for
EnsembleFSResult
object.
mlr3viz 0.7.0
CRAN release: 2023-12-21
- Add
"prediction"
plots for classification and regression learners.
mlr3viz 0.6.2
CRAN release: 2023-11-23
- Fix snapshots for bbotk 0.7.3.
- Add
"incumbent"
plot forOptimInstanceSingleCrit
.
mlr3viz 0.6.1
CRAN release: 2023-01-23
- Add
binwidth
argument to histogram plots. - The
"performance"
plot always connected the maximum performance values. Now the minimum values are connected when the measure is minimized.
mlr3viz 0.6.0
CRAN release: 2023-01-12
- Add
theme
option toautoplot()
functions to supply aggplot2::theme()
. The default isggplot2::theme_minimal()
. - Remove
theme_mlr3()
. - Unify plot layouts.
- Remove support for passing extra arguments to
geom_
functions via...
. This behavior was not consistent across theautoplot()
functions.
mlr3viz 0.5.10
CRAN release: 2022-08-15
- Improved documentation.
- Make checks run without suggested packages.
mlr3viz 0.5.6
CRAN release: 2021-09-14
- Compatibility fix for mlr3tuning.
- Fixed position of labels in barplot for
PredictionClassif
.
mlr3viz 0.2.0
CRAN release: 2020-08-07
- Added plots for
TaskDens
andTaskSurv
from packagemlr3proba
. - Update documentation of
PredictionRegr
(#23) -
autoplot.BenchmarkResult()
: Support for learners with identical IDs (#19) - Fixed a bug in
plot_learner_prediction()
(#47)
mlr3viz 0.1.1
CRAN release: 2020-02-19
- New plot: learner prediction for objects of class
ResampleResult
. Additionally, the helper functionplot_learner_prediction()
first performs aresample()
and then plots the result. - New plot: residual plot for objects of class
PredictionRegr
.