shinyML

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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Description file content

Package
shinyML
Type
Package
Title
Compare H20 or Spark Supervised Regression Models Using Shiny App
Version
0.2.0
Author
Jean Bertin
Maintainer
Jean Bertin
Description
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).
License
GPL-3
Encoding
UTF-8
Imports
shiny(>= 1.0.3), shinydashboard, h2o, shinyWidgets, dygraphs, plotly, sparklyr, tidyr, DT, ggplot2, shinycssloaders
Suggests
knitr, rmarkdown, covr, testthat
Depends
dplyr, data.table
LazyData
True
RoxygenNote
6.1.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-10-29 13:06:02 UTC; BERTIN
Repository
CRAN
Date/Publication
2019-10-29 13:40:02 UTC

install.packages('shinyML')

0.2.0

a month ago

Jean Bertin

GPL-3

Depends on

dplyr, data.table

Imports

shiny(>= 1.0.3), shinydashboard, h2o, shinyWidgets, dygraphs, plotly, sparklyr, tidyr, DT, ggplot2, shinycssloaders

Suggests

knitr, rmarkdown, covr, testthat

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