h2o

R Interface for 'H2O'

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

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Description file content

Package
h2o
Version
3.22.1.1
Type
Package
Title
R Interface for 'H2O'
Date
2018-12-28
Description
R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).
License
Apache License (== 2.0)
URL
BugReports
https://0xdata.atlassian.net/projects/PUBDEV
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' 'isolationforest.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
6.1.1
Packaged
2018-12-28 14:07:47 UTC; jenkins
Author
Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], H2O.ai [cph, fnd]
Maintainer
Erin LeDell
Repository
CRAN
Date/Publication
2019-01-10 22:20:03 UTC

install.packages('h2o')

3.22.1.1

11 days ago

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

Erin LeDell

Apache License (== 2.0)

Depends on

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

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