The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 0.3.0
Depends: R (≥ 3.6)
Imports: mlr3 (≥ 0.12.0), mlr3measures (≥ 0.3.1), mlr3learners, mlr3pipelines, Metrics, shiny (≥ 1.6.0), shinydashboard, shinyjs (≥ 2.0.0), shinyWidgets, shinyalert, data.table (≥ 1.12.8), DT (≥ 0.11), stringr, plyr, dplyr, purrr, stats, patchwork
Suggests: testthat (≥ 2.1.0), shinytest, devtools, ranger, e1071, xgboost, igraph, readxl, DALEX, DALEXtra, bslib, haven
Published: 2023-09-30
DOI: 10.32614/CRAN.package.mlr3shiny
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff at outlook.de>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Citation: mlr3shiny citation info
Materials: README NEWS
CRAN checks: mlr3shiny results

Documentation:

Reference manual: mlr3shiny.pdf

Downloads:

Package source: mlr3shiny_0.3.0.tar.gz
Windows binaries: r-devel: mlr3shiny_0.3.0.zip, r-release: mlr3shiny_0.3.0.zip, r-oldrel: mlr3shiny_0.3.0.zip
macOS binaries: r-release (arm64): mlr3shiny_0.3.0.tgz, r-oldrel (arm64): mlr3shiny_0.3.0.tgz, r-release (x86_64): mlr3shiny_0.3.0.tgz, r-oldrel (x86_64): mlr3shiny_0.3.0.tgz
Old sources: mlr3shiny archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3shiny to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.