README.md

In mlr-org/shinyMlr: A graphical user interface for machine learning in R

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()

Problems with rJava on OSX Yosemite

If rJava fails to load, this link might be helpful!

mlr-org/shinyMlr documentation built on May 15, 2019, 12:46 p.m.