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.

Documentation

Manual: h2o.pdf
 Vignette: None available.

Maintainer: Tom Kraljevic <tomk at 0xdata.com>

Author(s): The H2O.ai team

Install package and any missing dependencies by running this line in your R console:

install.packages("h2o")

Depends R (>= 2.13.0), methods, stats
Imports graphics, tools, utils, RCurl, jsonlite
Suggests ggplot2, mlbench, Matrix, data.table(>=1.9.8)
Enhances
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depends
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imports		 rsparkling
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suggests		 exprso, mlr, stremr
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enhances		 texreg
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linking to

Package h2o
Materials
URL https://github.com/h2oai/h2o-3
Task Views HighPerformanceComputing , MachineLearning
Version 3.10.2.2
Published 2017-01-18
License Apache License (== 2.0)
BugReports http://jira.h2o.ai
SystemRequirements Java (>= 1.7)
NeedsCompilation no
Citation
CRAN checks h2o check results
Package source h2o_3.10.2.2.tar.gz