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).


Reference manual

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0.2.0 by Jean Bertin, 9 months ago

Browse source code at

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