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mlr3viz: Visualizations for 'mlr3'

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:0.10.1
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 (≥ 1.3.0),mlr3inferr,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:2025-01-16
DOI:10.32614/CRAN.package.mlr3viz
Author:Michel LangORCID iD [aut], Patrick SchratzORCID iD [aut], Raphael SonabendORCID iD [aut], Marc BeckerORCID iD [cre, aut], Jakob RichterORCID iD [aut], Damir Pulatov [ctb], John ZobolasORCID iD [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

Documentation:

Reference manual:mlr3viz.html ,mlr3viz.pdf

Downloads:

Package source: mlr3viz_0.10.1.tar.gz
Windows binaries: r-devel:mlr3viz_0.10.1.zip, r-release:mlr3viz_0.10.1.zip, r-oldrel:mlr3viz_0.10.1.zip
macOS binaries: r-release (arm64):mlr3viz_0.10.1.tgz, r-oldrel (arm64):mlr3viz_0.10.1.tgz, r-release (x86_64):mlr3viz_0.10.1.tgz, r-oldrel (x86_64):mlr3viz_0.10.1.tgz
Old sources: mlr3viz archive

Reverse dependencies:

Reverse imports:mlr3shiny,mlr3verse,sense
Reverse suggests:explainer,mlr3fairness

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mlr3vizto link to this page.


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