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Title: Machine Learning in 'shiny' with 'mlr3'
Version: 0.5.0
Description: A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (≥ 3.6)
Imports: mlr3 (≥ 0.12.0), mlr3measures (≥ 0.3.1), mlr3learners, mlr3pipelines, mlr3viz, 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, ggparty, GGally
RoxygenNote: 7.3.2
Suggests: testthat (≥ 2.1.0), shinytest, devtools, ranger, e1071, xgboost, igraph, readxl, DALEX, DALEXtra, bslib, haven
NeedsCompilation: no
Packaged: 2024-12-28 13:04:27 UTC; laurensmartintetzlaff
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut], Alexander Frahm [aut], Dominic Henning [aut], Jakob Steinbrink [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff@outlook.de>
Repository: CRAN
Date/Publication: 2025-01-09 13:50:02 UTC

Title Launch mlr3shiny

Description

Launch an instance of mlr3shiny to perform machine learning in Shiny using mlr3.

Usage

launchMlr3Shiny(test = FALSE)

Arguments

test

Argument used for testing purposes. Default is FALSE.

Value

None

Examples

if (interactive()) {
   launchMlr3Shiny()
}

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.