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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: | 0.10.0 |
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, survminer, mlr3proba (≥ 0.6.3) |
Published: | 2024-11-07 |
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 |
Additional_repositories: | https://mlr-org.r-universe.dev |
Materials: | README NEWS |
CRAN checks: | mlr3viz results |
Reference manual: | mlr3viz.pdf |
Package source: | mlr3viz_0.10.0.tar.gz |
Windows binaries: | r-devel: mlr3viz_0.10.0.zip, r-release: mlr3viz_0.10.0.zip, r-oldrel: mlr3viz_0.10.0.zip |
macOS binaries: | r-release (arm64): mlr3viz_0.10.0.tgz, r-oldrel (arm64): mlr3viz_0.10.0.tgz, r-release (x86_64): mlr3viz_0.10.0.tgz, r-oldrel (x86_64): mlr3viz_0.10.0.tgz |
Old sources: | mlr3viz archive |
Reverse imports: | mlr3verse, sense |
Reverse suggests: | explainer, mlr3fairness |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.