Package: shinyML
Type: Package
Title: Compare Supervised Machine Learning Models Using Shiny App
Version: 1.0.1
Author: Jean Bertin
Maintainer: Jean Bertin <jean.bertin@mines-paris.org>
Description: 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).
URL: https://jeanbertinr.github.io/shinyMLpackage/
BugReports: https://github.com/JeanBertinR/shinyML/issues
License: GPL-3
Encoding: UTF-8
Imports: shiny (>= 1.0.3), argonDash, argonR, shinyjs, h2o,
        shinyWidgets, dygraphs, plotly, sparklyr, tidyr, DT, ggplot2,
        shinycssloaders, lubridate, graphics
Suggests: knitr, rmarkdown, covr, testthat
Depends: dplyr, data.table
LazyData: True
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-24 16:41:17 UTC; BERTIN
Repository: CRAN
Date/Publication: 2021-02-24 17:00:02 UTC
Built: R 4.6.0; ; 2026-04-30 16:41:41 UTC; unix
