Package: h2o
Version: 3.18.0.11
Type: Package
Title: R Interface for 'H2O'
Date: 2018-05-24
Authors@R: c(
    person(given = "Tom", family = "Kraljevic", role = c("aut", "cre"), email = "tomk@0xdata.com"),
    person(given = "H2O.ai", role = c("cph"))
    )
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 (>= 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), survival
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' 'coxph.R' 'coxphutils.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'
RoxygenNote: 6.0.1
Packaged: 2018-05-24 08:44:22 UTC; jenkins
Author: Tom Kraljevic [aut, cre],
  H2O.ai [cph]
Maintainer: Tom Kraljevic <tomk@0xdata.com>
Repository: CRAN
Date/Publication: 2018-05-24 21:48:52 UTC
