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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.
Package details |
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Author | Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>), Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Damir Pulatov [ctb], John Zobolas [aut] (<https://orcid.org/0000-0002-3609-8674>) |
Maintainer | Marc Becker <marcbecker@posteo.de> |
License | LGPL-3 |
Version | 0.9.0 |
URL | https://mlr3viz.mlr-org.com https://github.com/mlr-org/mlr3viz |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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