Implementation of a shiny app to easily compare supervised machine learning model performances. You provide the data and configure each model parameter directly on the shiny app. Different supervised learning algorithms can be tested either on Spark or H2O frameworks to suit your regression and classification tasks. Implementation of available machine learning models on R has been done by Lantz (2013, ISBN:9781782162148).
Package details |
|
---|---|
Author | Jean Bertin |
Maintainer | Jean Bertin <jean.bertin@mines-paris.org> |
License | GPL-3 |
Version | 1.0.1 |
URL | https://jeanbertinr.github.io/shinyMLpackage/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.