Package: h2o
Version: 3.16.0.2
Type: Package
Title: R Interface for H2O
Date: 2017-11-30
Author: The H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>
Description: 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.
License: Apache License (== 2.0)
URL: https://github.com/h2oai/h2o-3
BugReports: http://jira.h2o.ai
NeedsCompilation: no
SystemRequirements: Java (>= 1.7)
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)
Collate: 'aggregator.R' 'astfun.R' 'automl.R' 'classes.R' 'config.R'
        'connection.R' 'constants.R' 'datasets.R' 'logging.R'
        'communication.R' 'kvstore.R' 'frame.R' 'import.R' 'parse.R'
        'export.R' 'edicts.R' 'models.R' 'kmeans.R' 'gbm.R' 'glm.R'
        'glrm.R' 'pca.R' 'svd.R' 'deeplearning.R' 'stackedensemble.R'
        'deepwater.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R'
        'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'predict.R'
        'zzz.R'
Packaged: 2017-12-01 02:13:26 UTC; jenkins
Repository: CRAN
Date/Publication: 2017-12-01 23:16:06 UTC
Built: R 3.3.3; ; 2018-04-22 14:33:33 UTC; windows
