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.


News

Changes in v3.7.0.99999 (In development on GitHub)

NEW FEATURES

  1. Example feature #1

  2. Example feature #1

BUG FIXES

  1. Example big fix #1

  2. Example big fix #1

Changes in v3.6.0.8 (On CRAN 24 Sep 2015)

NEW FEATURES

  1. Example feature #1

  2. Example feature #1

BUG FIXES

  1. Example big fix #1

  2. Example big fix #1

Reference manual

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install.packages("h2o")

3.18.0.8 by Tom Kraljevic, 20 days ago


https://github.com/h2oai/h2o-3


Report a bug at http://jira.h2o.ai


Browse source code at https://github.com/cran/h2o


Authors: Tom Kraljevic [aut, cre], H2O.ai [cph]


Documentation:   PDF Manual  


Task views: Machine Learning & Statistical Learning, High-Performance and Parallel Computing with R, Model Deployment with R


Apache License (== 2.0) license


Imports graphics, tools, utils, RCurl, jsonlite

Depends on methods, stats

Suggests ggplot2, mlbench, Matrix, slam, bit64, data.table, survival

System requirements: Java (>= 7)


Imported by rsparkling.

Suggested by exprso, lime, mlr.

Enhanced by texreg.


See at CRAN