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:
0.5.0
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
Suggests:
testthat (≥ 2.1.0),
shinytest,
devtools,
ranger,
e1071,
xgboost,
igraph,
readxl,
DALEX,
DALEXtra,
bslib,
haven
Published:
2025年01月09日
Author:
Laurens Tetzlaff [aut, cre],
Gero Szepannek [aut],
Alexander Frahm [aut],
Dominic Henning [aut],
Jakob Steinbrink [aut]
Maintainer:
Laurens Tetzlaff <laurens.tetzlaff at outlook.de>
NeedsCompilation:
no
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mlr3shiny
to link to this page.