# Setting up H2O for R from: http://www.h2o.ai/download/h2o/r # The following two commands remove any previously installed H2O packages for R. if ("package:h2o" %in% search()) { detach("package:h2o", unload=TRUE) } if ("h2o" %in% rownames(installed.packages())) { remove.packages("h2o") } # Next, we download packages that H2O depends on. pkgs <- c("methods","statmod","stats","graphics","RCurl","jsonlite","tools","utils") for (pkg in pkgs) { if (! (pkg %in% rownames(installed.packages()))) { install.packages(pkg) } } # Now we download, install and initialize the H2O package for R. install.packages("h2o", type="source", repos=(c("http://h2o-release.s3.amazonaws.com/h2o/rel-turin/4/R"))) #library(h2o) #localH2O = h2o.init(nthreads=-1) # Finally, let's run a demo to see H2O at work. #demo(h2o.kmeans) # more sources: # http://learn.h2o.ai/content/tutorials/deeplearning/ # http://www.h2o.ai/verticals/algos/deep-learning/