Introducing H2O Lagrange (2.6.0.11) to R

From my perspective the most important event that happened atuseR! 2014 was that I got to meetthe 0xdata team and now, long story short,here I am introducing the latest version of H2O, labeledLagrange (2.6.0.11),to the R and greater data science communities. Beforejoining 0xdata, I was working at a competitor on a rival project and wasrepeatedly asked why my generalized linear model analytic didn’t run as fast asH2O’s GLM. The answer then as it is now is the same – becauseH2O has a cutting edge distributed in-memory parallel computingarchitecture – but I no longer receive an electric shock every time I say so.

For those hearing about H2O for the first time, it is an open-sourcedistributed in-memory data analysis tool designed for extremely large data setsand the H2O Lagrange (2.6.0.11) release provides scalable solutionsfor the followinganalysis techniques:

In my first blog post at 0xdata, I wanted to keep it simple and make sure Rusers know how to get the h2o package, which is cross-referenced on theHigh-Performance and Parallel ComputingandMachine and Statistical LearningCRAN Task Views, up and running on theircomputers. To so do, open an R console of your choice and type

# Download, install, and initialize the H2O package
install.packages("h2o",
                 repos = c("http://h2o-release.s3.amazonaws.com/h2o/rel-lagrange/11/R", getOption("repos")))
library(h2o)
localH2O <- h2o.init()

# List and run some demos to see H2O at work
demo(package = "h2o")
demo(h2o.glm)
demo(h2o.deeplearning)

After you are done experimenting with the demos in R, you can open up a webbrowser to http://localhost:54321/ to give the H2O web interface aonce over and then hop over to0xdata’s YouTube channel for somein-depth talks.

Over the coming weeks we at 0xdata will continue toblog about how to use H2Othrough R and other interfaces. If there is a particular use case you would liketo see addressed, join ourh2ostream Google Groupsconversation or e-mail us at support@0xdata.com. Until then, happy analyzing.

Related Blogs

R-bloggers

Published by

wpengine

This is the "wpengine" admin user that our staff uses to gain access to your admin area to provide support and troubleshooting. It can only be accessed by a button in our secure log that auto generates a password and dumps that password after the staff member has logged in. We have taken extreme measures to ensure that our own user is not going to be misused to harm any of our clients sites.