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: |
0.9.0 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
checkmate, data.table, ggplot2 (≥ 3.3.0), mlr3misc (≥
0.7.0), scales, utils, viridis |
| Suggests: |
bbotk (≥ 1.0.0), cluster, GGally, ggdendro, ggfortify (≥
0.4.11), ggparty, glmnet, knitr, lgr, mlr3 (≥ 0.6.0), mlr3cluster, mlr3filters, mlr3fselect (≥ 1.0.0), mlr3learners, mlr3tuning (≥ 1.0.0), paradox, partykit, patchwork (≥ 1.1.1), precrec, ranger, rpart, stats, testthat (≥ 3.0.0), vdiffr (≥
1.0.2), xgboost |
| Published: |
2024-07-01 |
| DOI: |
10.32614/CRAN.package.mlr3viz |
| Author: |
Michel Lang  [aut],
Patrick Schratz
[aut],
Raphael Sonabend
[aut],
Marc Becker [cre,
aut],
Jakob Richter
[aut],
Damir Pulatov [ctb],
John Zobolas
[aut] |
| Maintainer: |
Marc Becker <marcbecker at posteo.de> |
| 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 |