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mlr3shiny  

Machine Learning in 'shiny' with 'mlr3'
View on CRAN: Click here


Download and install mlr3shiny package within the R console
Install from CRAN:
install.packages("mlr3shiny")

Install from Github:
library("remotes")
install_github("cran/mlr3shiny")

Install by package version:
library("remotes")
install_version("mlr3shiny", "0.3.0")



Attach the package and use:
library("mlr3shiny")
Maintained by
Laurens Tetzlaff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-31
Latest Update: 2021-09-30
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.
How to cite:
Laurens Tetzlaff (2020). mlr3shiny: Machine Learning in 'shiny' with 'mlr3'. R package version 0.3.0, https://cran.r-project.org/web/packages/mlr3shiny
Previous versions and publish date:
0.1.1 (2020-03-31 12:30), 0.2.0 (2021-09-30 15:40)
Other packages that cited mlr3shiny R package
View mlr3shiny citation profile
Other R packages that mlr3shiny depends, imports, suggests or enhances
Functions, R codes and Examples using the mlr3shiny R package
Some associated functions: launchMlr3Shiny . 
Some associated R codes: launchMlr3Shiny.R .  Full mlr3shiny package functions and examples
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