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.

Version: 0.2.0
Depends: R (≥ 3.6)
Imports: mlr3 (≥ 0.12.0), mlr3measures (≥ 0.3.1), mlr3learners, shiny (≥ 1.6.0), shinythemes, shinydashboard, shinyjs (≥ 2.0.0), shinyWidgets, shinyalert, data.table (≥ 1.12.8), DT (≥ 0.11), readxl, stringr, plyr, purrr, ranger, e1071, stats
Suggests: testthat (≥ 2.1.0), shinytest, devtools
Published: 2021-09-30
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff at outlook.de>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3shiny results

Documentation:

Reference manual: mlr3shiny.pdf

Downloads:

Package source: mlr3shiny_0.2.0.tar.gz
Windows binaries: r-devel: mlr3shiny_0.2.0.zip, r-release: mlr3shiny_0.2.0.zip, r-oldrel: mlr3shiny_0.2.0.zip
macOS binaries: r-release (arm64): mlr3shiny_0.2.0.tgz, r-oldrel (arm64): mlr3shiny_0.2.0.tgz, r-release (x86_64): mlr3shiny_0.2.0.tgz, r-oldrel (x86_64): mlr3shiny_0.2.0.tgz
Old sources: mlr3shiny archive

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