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

We're unfortunately facing a bug which throws an error when trying to install the package on windows machines. However, you can start shinyMlr directly via github:

shiny::runGitHub('mlr-org/shinyMlr', 'YourGithubAcountName')

You can simply install the package from github:

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

Starting shinyMlr:

runShinyMlr()