Reference manual

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install.packages("h2o")

3.44.0.3 by Tomas Fryda, 9 months ago


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


Report a bug at https://github.com/h2oai/h2o-3/issues


Browse source code at https://github.com/cran/h2o


Authors: Tomas Fryda [aut, cre] , Erin LeDell [aut] , 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] , Sebastien Poirier [aut] , Wendy Wong [aut] , Ludi Rehak [ctb] , Eric Eckstrand [ctb] , Brandon Hill [ctb] , Sebastian Vidrio [ctb] , Surekha Jadhawani [ctb] , Amy Wang [ctb] , Raymond Peck [ctb] , Jan Gorecki [ctb] , Matt Dowle [ctb] , Yuan Tang [ctb] , Lauren DiPerna [ctb] , Veronika Maurerova [ctb] , Yuliia Syzon [ctb] , Adam Valenta [ctb] , Marek Novotny [ctb] , H2O.ai [cph, fnd]


Documentation:   PDF Manual  


Apache License (== 2.0) license


Imports graphics, tools, utils, RCurl, jsonlite

Depends on methods, stats

Suggests ggplot2, mlbench, Matrix, slam, bit64, data.table, rgl, plot3Drgl, survival, DT, IRdisplay, htmltools, plotly, repr, curl, scales

System requirements: Java (>= 8, <= 17)


Imported by agua, autoEnsemble, h2otools, healthyR.ai, lazytrade, lilikoi, mlim, rsparkling, shapley, shinyML.

Suggested by DALEXtra, NeuralSens, bundle, flowml, iForecast, iml, lares, lareshiny, lime, localICE, mlflow, mlr, pheble, stacks.

Enhanced by shapviz, texreg, vip.


See at CRAN