Working with H2O has been quite an experience so far. Lets look at how to set it up. We can setup H2O as standalone server, install in R or install in Hadoop. Setting it up on standalone is quite simple.
download the zip file
cd into the directory
java -jar h2o.jar
Go to http://localhost:54321/ to see your output. It should look like this:
Installing in R requires slightly complex steps, especially if you are working with Ubuntu or linux.
Install the package by the following command:
install.packages("h2o", repos=(c("http://s3.amazonaws.com/h2orelease/h2o/master/126.96.36.199/R", getOption("repos"))))
Initialize the package and verify that H2O installed properly:
localH2O = h2o.init()
Installing in Hadoop requires you to have a Cloudera or Hortonworks or MapR version of Hadoop running on your system because this is what I found inside the
h2o/hadoop directory. You can see the drivers for these versions of Hadoop only.