Package: h2o
Version: 3.30.0.1
Type: Package
Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Date: 2020-04-03
Authors@R: c(
    person("Erin", "LeDell", role = c("aut", "cre"), email = "erin@h2o.ai"),
    person("Navdeep", "Gill", role = c("aut")),
    person("Spencer", "Aiello", role = c("aut")),
    person("Anqi", "Fu", role = c("aut")),    
    person("Arno", "Candel", role = c("aut")),
    person("Cliff", "Click", role = c("aut")),
    person("Tom", "Kraljevic", role = c("aut")),
    person("Tomas", "Nykodym", role = c("aut")),
    person("Patrick", "Aboyoun", role = c("aut")),  
    person("Michal", "Kurka", role = c("aut")),  
    person("Michal", "Malohlava", role = c("aut")),  
    person("Ludi", "Rehak", role = c("ctb")),      
    person("Eric", "Eckstrand", role = c("ctb")),
    person("Brandon", "Hill", role = c("ctb")),
    person("Sebastian", "Vidrio", role = c("ctb")),
    person("Surekha", "Jadhawani", role = c("ctb")),
    person("Amy", "Wang", role = c("ctb")),        
    person("Raymond", "Peck", role = c("ctb")),        
    person("Wendy", "Wong", role = c("ctb")),    
    person("Jan", "Gorecki", role = c("ctb")),
    person("Matt", "Dowle", role = c("ctb")),
    person("Yuan", "Tang", role = c("ctb")),    
    person("Lauren", "DiPerna", role = c("ctb")),    
    person("H2O.ai", role = c("cph", "fnd"))
    )
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: https://github.com/h2oai/h2o-3
BugReports: https://0xdata.atlassian.net/projects/PUBDEV
NeedsCompilation: no
SystemRequirements: Java (>= 8)
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), rgl (>= 0.100.19), plot3Drgl (>= 1.0.1), 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'
        'targetencoder_deprecated.R' 'targetencoder.R' 'import.R'
        'isolationforest.R' 'parse.R' 'export.R' 'edicts.R' 'models.R'
        'coxph.R' 'coxphutils.R' 'kmeans.R' 'gam.R' 'gbm.R' 'generic.R'
        'glm.R' 'glrm.R' 'pca.R' 'svd.R' 'psvm.R' 'deeplearning.R'
        'stackedensemble.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R'
        'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'segment.R'
        'predict.R' 'zzz.R'
RoxygenNote: 7.0.2
Packaged: 2020-04-03 20:51:45 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 <erin@h2o.ai>
Repository: CRAN
Date/Publication: 2020-04-09 08:50:02 UTC
Built: R 4.1.0; ; 2020-08-03 04:00:39 UTC; windows
