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:
Problems with rJava on OSX Yosemite
rJava fails to load, this link might be helpful!