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
RoxygenNote: 7.1.1
Config/pak/sysreqs: cmake make default-jdk libicu-dev libuv1-dev
        libxml2-dev libssl-dev zlib1g-dev
Repository: https://jeanbertinr.r-universe.dev
Date/Publication: 2021-02-24 14:54:50 UTC
RemoteUrl: https://github.com/jeanbertinr/shinyml
RemoteRef: HEAD
RemoteSha: 2aecbf230b6f63b847c8b4d48c8a20c6a0c4e6ff
NeedsCompilation: no
Packaged: 2026-09-22 07:28:09 UTC; root