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 (GLM), Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes,
Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, Maximum R GLM (maxrglm),
Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
'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.R'
'import.R' 'isolationforest.R' 'extendedisolationforest.R'
'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R'
'coxphutils.R' 'kmeans.R' 'gam.R' 'anovaglm.R' 'gbm.R'
'generic.R' 'glm.R' 'glrm.R' 'maxrglm.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' 'tf-idf.R'
'rulefit.R' 'explain.R' 'permutation_varimp.R' 'zzz.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("Tomas", "Fryda", role = c("ctb")),
person("Veronika", "Maurerova", role=c("ctb")),
person("H2O.ai", role = c("cph", "fnd"))
)
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 (GLM), Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes,
Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection,
Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
'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.R'
'import.R' 'isolationforest.R' 'extendedisolationforest.R'
'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R'
'coxphutils.R' 'kmeans.R' 'gam.R' 'anovaglm.R' 'gbm.R'
'generic.R' 'glm.R' 'glrm.R' 'modelselection.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' 'tf-idf.R'
'rulefit.R' 'explain.R' 'permutation_varimp.R' 'infogram.R'
'zzz.R' 'upliftrandomforest.R'
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],
Tomas Fryda [ctb],
Veronika Maurerova [ctb],
H2O.ai [cph, fnd]