Provides visualizations for 'mlr3' objects such as tasks,
predictions, resample results or benchmark results via the autoplot()
generic of 'ggplot2'. The returned 'ggplot' objects are intended to
provide sensible defaults, yet can easily be customized to create
camera-ready figures. Visualizations include barplots, boxplots,
histograms, ROC curves, and Precision-Recall curves.
| Version: |
0.5.10 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
checkmate, data.table, ggplot2 (≥ 3.3.0), mlr3misc (≥
0.7.0), scales, utils, viridis |
| Suggests: |
bbotk, cluster, factoextra, GGally, 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: |
2022-08-15 |
| 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 |