Package: mlr3viz 0.9.0

Marc Becker

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.

Authors:Michel Lang [aut], Patrick Schratz [aut], Raphael Sonabend [aut], Marc Becker [cre, aut], Jakob Richter [aut], Damir Pulatov [ctb], John Zobolas [aut]

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mlr3viz/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/mlr-org/mlr3viz/issues

On CRAN:

ggplot2mlr3visualizationvisualizations

4 exports 42 stars 3.78 score 35 dependencies 5 dependents 368 scripts 3.0k downloads

Last updated 2 months agofrom:fc9fa610d8 (on v0.9.0). Checks:OK: 7. Indexed: yes.

Exports:as_precrecautoplotfortifyplot_learner_prediction

Dependencies:backportscheckmateclicolorspacedata.tabledigestfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlr3miscmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr