Package: mlr3viz
Title: Visualizations for 'mlr3'
Version: 0.6.1
Authors@R: c(
    person("Michel", "Lang", , "michellang@gmail.com", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Raphael", "Sonabend", , "raphael.sonabend.15@ucl.ac.uk", role = "aut",
           comment = c(ORCID = "0000-0001-9225-4654")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = "aut",
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Jakob", "Richter", , "jakob1richter@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-4481-5554")),
    person("Damir", "Pulatov", , "dpulatov@uwyo.edu", role = "ctb")
  )
Description: 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.
License: LGPL-3
URL: https://mlr3viz.mlr-org.com, https://github.com/mlr-org/mlr3viz
BugReports: https://github.com/mlr-org/mlr3viz/issues
Depends: R (>= 3.1.0)
Imports: checkmate, data.table, ggplot2 (>= 3.3.0), mlr3misc (>=
        0.7.0), scales, utils, viridis
Suggests: bbotk, cluster, GGally, ggdendro, ggfortify (>= 0.4.11),
        ggparty, glmnet, knitr, lgr, mlr3 (>= 0.6.0), mlr3cluster,
        mlr3filters, mlr3learners, mlr3tuning (>= 0.9.0), paradox,
        partykit, patchwork (>= 1.1.1), precrec, ranger, rpart, stats,
        testthat (>= 3.0.0), vdiffr (>= 1.0.2), xgboost
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.2.3
Collate: 'BenchmarkResult.R' 'Filter.R' 'LearnerClassifCVGlmnet.R'
        'LearnerClassifGlmnet.R' 'LearnerClassifRpart.R'
        'LearnerClustHierarchical.R' 'LearnerRegrCVGlmnet.R'
        'LearnerRegrGlmnet.R' 'LearnerRegrRpart.R'
        'OptimInstanceSingleCrit.R' 'Prediction.R'
        'PredictionClassif.R' 'PredictionClust.R' 'PredictionRegr.R'
        'ResampleResult.R' 'Task.R' 'TaskClassif.R' 'TaskClust.R'
        'TaskRegr.R' 'TuningInstanceSingleCrit.R' 'as_precrec.R'
        'bibentries.R' 'helper.R' 'plot_learner_prediction.R'
        'reexports.R' 'zzz.R'
Packaged: 2023-01-23 11:06:38 UTC; marc
Author: Michel Lang [cre, 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 [aut] (<https://orcid.org/0000-0002-8115-0400>),
  Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>),
  Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-23 14:50:02 UTC
Built: R 4.1.2; ; 2023-01-24 12:30:52 UTC; unix
