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), survival
Published: 2018-05-02
Author: Tom Kraljevic [aut, cre], H2O.ai [cph]
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 (>= 7)
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning, ModelDeployment
CRAN checks: h2o results


Reference manual: h2o.pdf
Package source: h2o_3.18.0.8.tar.gz
Windows binaries: r-devel: h2o_3.18.0.8.zip, r-release: h2o_3.18.0.8.zip, r-oldrel: h2o_3.18.0.8.zip
OS X binaries: r-release: h2o_3.18.0.8.tgz, r-oldrel: h2o_3.16.0.2.tgz
Old sources: h2o archive

Reverse dependencies:

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


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