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 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mlr3viz to link to this page.
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