H₂O

Get started with H₂O in 3 easy steps

1. Download H₂O. This is a zip file that contains everything you need to get started.

2. From your terminal, run:

cd ~/Downloads
unzip h2o-3.30.0.2.zip
cd h2o-3.30.0.2
java -jar h2o.jar

3. Point your browser to http://localhost:54321

Use H₂O directly from Python

1. Prerequisite: Python 2.7.x, 3.5.x, or 3.6.x

2. Install dependencies (prepending with `sudo` if needed):

pip install requests
pip install tabulate
pip install "colorama>=0.3.8"
pip install future

At the command line, copy and paste these commands one line at a time:

# The following command removes the H₂O module for Python.
pip uninstall h2o

# Next, use pip to install this version of the H₂O Python module.
pip install /Python/h2o-3.30.0.2-py2.py3-none-any.whl

Conda Installation

Available at https://anaconda.org/h2oai/h2o/

To install this package with conda run:

conda install -c h2oai h2o

Use H₂O directly from R

Copy and paste these commands into R one line at a time:

# 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("RCurl","jsonlite")
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="/R")

# Finally, let's load H2O and start up an H2O cluster
library(h2o)
h2o.init()

Run H₂O on Hadoop in just 3 steps

1. Download H₂O for your version of Hadoop. This is a zip file that contains everything you need to get started.

2. Unpack the zip file and launch a 6g instance of H₂O:

unzip h2o-3.30.0.2-*.zip
cd h2o-3.30.0.2-*
hadoop jar h2odriver.jar -nodes 1 -mapperXmx 6g

3. Point your browser to H2O (see "Open H2O Flow in your web browser" in the output below):

Determining driver host interface for mapper->driver callback...
[Possible callback IP address: 172.16.2.181]
[Possible callback IP address: 127.0.0.1]
...
Waiting for H2O cluster to come up...
H2O node 172.16.2.188:54321 requested flatfile
Sending flatfiles to nodes...
[Sending flatfile to node 172.16.2.188:54321]
H2O node 172.16.2.188:54321 reports H2O cluster size 1
H2O cluster (1 nodes) is up
(Note: Use the -disown option to exit the driver after cluster formation)

Open H2O Flow in your web browser: http://172.16.2.188:54321

(Press Ctrl-C to kill the cluster)
Blocking until the H2O cluster shuts down...

Gradle-style specification for Maven artifacts

See the h2o-droplets github repository for a working example.

def h2oProjectVersion = "3.30.0.2"

repositories {
 maven {
  url "/maven/repo/"
 }
}

dependencies {
 compile "ai.h2o:h2o-algos:${h2oProjectVersion}"
 compile "ai.h2o:h2o-app:${h2oProjectVersion}"
 compile "ai.h2o:h2o-core:${h2oProjectVersion}"
 compile "ai.h2o:h2o-genmodel:${h2oProjectVersion}"
 compile "ai.h2o:h2o-persist-hdfs:${h2oProjectVersion}"
 compile "ai.h2o:h2o-web:${h2oProjectVersion}"
}