c(person(given = "Laurens",
family = "Tetzlaff",
role = c("aut", "cre"),
email = "laurens.tetzlaff@outlook.de"),
person(given = "Gero",
family = "Szepannek",
role = "aut",
email = "gero.szepannek@web.de"))
A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
mlr3 (>= 0.1.6), mlr3measures (>= 0.1.1), mlr3learners, shiny,
shinythemes, shinydashboard, shinyjs, shinyWidgets, shinyalert,
data.table (>= 1.12.8), DT (>= 0.11), readxl, stringr, plyr,
purrr, ranger, e1071, stats
testthat (>= 2.1.0), shinytest, devtools
Laurens Tetzlaff [aut, cre],
Gero Szepannek [aut]

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

Support for Spatial Objects Within the 'mlr3' Ecosystem
c(person(given = "Marc",
family = "Becker",
role = c("aut", "cre"),
email = "marcbecker@posteo.de",
comment = c(ORCID = "0000-0002-8115-0400")),
person(given = "Patrick",
family = "Schratz",
role = "aut",
email = "patrick.schratz@gmail.com",
comment = c(ORCID = "0000-0003-0748-6624")))
Extends the mlr3 ML framework with methods for spatial
objects. Data storage and prediction are supported for packages
'terra', 'raster' and 'stars'.
bench, e1071, future, future.callr, knitr, mlr3learners (>=
0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown,
rpart, sf, stars, testthat (>= 3.0.0)

Extends the 'mlr3' ML framework with methods for spatial
objects. Data storage and prediction are supported for packages
'terra', 'raster' and 'stars'.
bench, e1071, future, future.callr, knitr, mlr3learners (>=
0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown,
rpart, sf, stars (>= 0.5-5), testthat (>= 3.0.0)

bench, future, future.callr, knitr, mlr3learners (>= 0.4.5),
paradox, ranger, raster, rgdal, rmarkdown, rpart, stars (>=
0.5-5), testthat (>= 3.0.0)
'DataBackendRaster.R' 'LearnerClassifSpatial.R'
'LearnerRegrSpatial.R' 'TaskRegrST.R' 'TaskClassifST.R'
'TaskClassif_leipzig.R' 'as_task_classif_st.R'
'as_task_regr_st.R' 'as_task_unsupervised.R' 'data.R'
'helper.R' 'predict_spatial.R' 'zzz.R'