The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

rsparkling: R Interface for H2O Sparkling Water

An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).

Version: 0.2.19
Depends: R (≥ 2.10)
Imports: utils, sparklyr (≥ 0.3), h2o (≥ 3.8.3.3)
Suggests: dplyr, testthat
Published: 2020-01-28
Author: Jakub Hava [aut, cre], Navdeep Gill [aut], Erin LeDell [aut], Michal Malohlava [aut], JJ Allaire [aut], H2O.ai [cph], RStudio [cph]
Maintainer: Jakub Hava <jakub at h2o.ai>
BugReports: http://jira.h2o.ai
License: Apache License 2.0 | file LICENSE
URL: https://github.com/h2oai/sparkling-water/tree/master/r
NeedsCompilation: no
SystemRequirements: Java (>6)
In views: ModelDeployment
CRAN checks: rsparkling results

Documentation:

Reference manual: rsparkling.pdf

Downloads:

Package source: rsparkling_0.2.19.tar.gz
Windows binaries: r-devel: rsparkling_0.2.19.zip, r-release: rsparkling_0.2.19.zip, r-oldrel: rsparkling_0.2.19.zip
macOS binaries: r-release (arm64): rsparkling_0.2.19.tgz, r-oldrel (arm64): rsparkling_0.2.19.tgz, r-release (x86_64): rsparkling_0.2.19.tgz, r-oldrel (x86_64): rsparkling_0.2.19.tgz
Old sources: rsparkling archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rsparkling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.