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shinyMlr: Integration of the mlr package into shiny

With help of this package mlr can be accessed via a shiny interface.

This project has started last year and contains now mlr's major functionalities:

  • Data import
  • Data exploration and preprocessing
  • Creating regression or classification tasks
  • Making use of any mlr learner
  • Tuning of learner hyper parameters
  • Training and predicting a model
  • Benchmark experiments with different learners and measures
  • Many visualisations

Installation and starting shinyMlr

You can simply install the package from github:

devtools::install_github("mlr-org/shinyMlr")

Starting shinyMlr:

runShinyMlr()

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Version

Version

1.0

License

BSD_2_clause + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Stefan Coors

Last Published

August 19th, 2018

Functions in shinyMlr (1.0)

runShinyMlr

Run shinyMlr