Visualization package of the 'mlr3' ecosystem. It features plots
for mlr3 objects such as tasks, learners, predictions, benchmark results,
tuning instances and filters via the 'autoplot()' generic of 'ggplot2'.
The package draws plots with the 'viridis' color palette and applies the
minimal theme. Visualizations include barplots, boxplots, histograms, ROC
curves, and Precision-Recall curves.
Version: |
0.6.1 |
Depends: |
R (≥ 3.1.0) |
Imports: |
checkmate, data.table, ggplot2 (≥ 3.3.0), mlr3misc (≥
0.7.0), scales, utils, viridis |
Suggests: |
bbotk, cluster, GGally, ggdendro, ggfortify (≥ 0.4.11), ggparty, glmnet, knitr, lgr, mlr3 (≥ 0.6.0), mlr3cluster, mlr3filters, mlr3learners, mlr3tuning (≥ 0.9.0), paradox, partykit, patchwork (≥ 1.1.1), precrec, ranger, rpart, stats, testthat (≥ 3.0.0), vdiffr (≥ 1.0.2), xgboost |
Published: |
2023-01-23 |
Author: |
Michel Lang [cre,
aut],
Patrick Schratz
[aut],
Raphael Sonabend
[aut],
Marc Becker [aut],
Jakob Richter
[aut],
Damir Pulatov [ctb] |
Maintainer: |
Michel Lang <michellang at gmail.com> |
BugReports: |
https://github.com/mlr-org/mlr3viz/issues |
License: |
LGPL-3 |
URL: |
https://mlr3viz.mlr-org.com, https://github.com/mlr-org/mlr3viz |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
mlr3viz results |