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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("h2o")

3.16.0.2 by Tom Kraljevic, 5 months 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: The H2O.ai team


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

System requirements: Java (>= 1.7)


Imported by rsparkling.

Suggested by exprso, lime, mlr.

Enhanced by texreg.


See at CRAN