Compare H20 or Spark Supervised Regression Models Using Shiny App

Implementation of a shiny app to easily compare supervised regression model performances. You provide the data and configure each model parameter directly on the shiny app. Four main supervised learning algorithms can be tested either on Spark or H2O frameworks to suit your regression problem on a given time series. Implementation of these time series forecasting methods on R has been done by Shmueli and Lichtendahl (2015, ISBN:0991576632).


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install.packages("shinyML")

0.1.1 by Jean Bertin, 15 days ago


Browse source code at https://github.com/cran/shinyML


Authors: Jean Bertin


Documentation:   PDF Manual  


GPL-3 license


Imports shiny, shinydashboard, h2o, shinyWidgets, dygraphs, plotly, sparklyr, tidyr, DT, ggplot2, shinycssloaders

Depends on dplyr, data.table

Suggests knitr, rmarkdown, covr, testthat


See at CRAN