h2o: R Interface for H2O

R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.

Depends: R (≥ 2.13.0), methods, stats
Imports: graphics, tools, utils, RCurl, jsonlite
Suggests: ggplot2, mlbench, Matrix, slam, bit64 (≥ 0.9.7), data.table (≥ 1.9.8)
Published: 2017-12-01
Author: The H2O.ai team
Maintainer: Tom Kraljevic <tomk at 0xdata.com>
BugReports: http://jira.h2o.ai
License: Apache License (== 2.0)
URL: https://github.com/h2oai/h2o-3
NeedsCompilation: no
SystemRequirements: Java (>= 1.7)
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning
CRAN checks: h2o results


Reference manual: h2o.pdf
Package source: h2o_3.16.0.2.tar.gz
Windows binaries: r-devel: h2o_3.16.0.2.zip, r-release: h2o_3.16.0.2.zip, r-oldrel: h2o_3.16.0.2.zip
OS X El Capitan binaries: r-release: h2o_3.16.0.2.tgz
OS X Mavericks binaries: r-oldrel: h2o_3.16.0.2.tgz
Old sources: h2o archive

Reverse dependencies:

Reverse imports: rsparkling
Reverse suggests: exprso, lime, mlr, stremr
Reverse enhances: texreg


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