Package: mlr3shiny 0.4.0

mlr3shiny: Machine Learning in 'shiny' with 'mlr3'

A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.

Authors:Laurens Tetzlaff [aut, cre], Gero Szepannek [aut], Alexander Frahm [aut], Dominic Henning [aut], Jakob Steinbrink [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/lamate/mlr3shiny/issues

On CRAN:

data-scienceintroduction-to-machine-learningmachine-learningmlr3shinysupervised-learning

1 exports 26 stars 2.54 score 138 dependencies 1 scripts 332 downloads

Last updated 3 months agofrom:89bb3f2f4a. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

Exports:launchMlr3Shiny

Dependencies:anytimebackportsbase64encBHbitbit64broombroom.helpersbslibcachemcardscellrangercheckmateclassclicliprcodetoolscolorspacecommonmarkcpp11crayoncrosstalkdata.tabledigestdplyrDTe1071evaluatefansifarverfastmapfontawesomeforcatsFormulafsfuturefuture.applygenericsGGallyggpartyggplot2ggstatsglobalsgluegridExtragtablehavenhighrhmshtmltoolshtmlwidgetshttpuvigraphimlinumisobandjquerylibjsonliteknitrlabelinglabelledlaterlatticelazyevallgrlibcoinlifecyclelistenvmagrittrMASSMatrixmemoiseMetricsmgcvmimemlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3pipelinesmlr3vizmunsellmvtnormnlmepalmerpenguinsparadoxparallellypartykitpatchworkpillarpkgconfigplyrprettyunitsprogresspromisesproxyPRROCpurrrR6rangerrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrlangrmarkdownrpartsassscalesshinyshinyalertshinydashboardshinyjsshinyWidgetssourcetoolsstringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8uuidvctrsviridisviridisLitevroomwithrxfunxgboostxtableyaml