JeanBertinR/dashR: Compare Supervised Machine Learning Models Using Shiny App

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).

Getting started

Package details

AuthorJean Bertin
MaintainerJean Bertin <jean.bertin@mines-paris.org>
LicenseGPL-3
Version1.0.1
URL https://jeanbertinr.github.io/shinyMLpackage/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("JeanBertinR/dashR")
JeanBertinR/dashR documentation built on Feb. 26, 2021, 7:23 p.m.