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.

By default, this setup is open. If you want to secure your installation, follow the Security Guidelines.

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

2. From your terminal, run:

cd ~/Downloads
unzip h2o-3.46.0.12.zip
cd h2o-3.46.0.12
java -jar h2o.jar

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

Use H₂O directly from Python

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

1. Prerequisite: Python 3.6.x to 3.11.x

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

pip install requests
pip install tabulate

Optional: install `matplotlib` (required for plotting in Python):

pip install matplotlib

By default, this setup is open. If you want to secure your installation, follow the Security Guidelines.

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-3.46.0.12-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

By default, this setup is open. If you want to secure your installation, follow the Security Guidelines.

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

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

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

Gradle-style specification for Maven artifacts

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

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

def h2oProjectVersion = "3.46.0.12"

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}"
}

Run H₂O on Kubernetes

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

H₂O-3 can send anonymous usage telemetry to help prioritize features and platforms — never your code or data. It is off by default; to enable or learn more, see the Telemetry documentation.

A lightweight assembly jar with minimum dependencies

1. Download the h2o-steam-3.46.0.12.jar artifact or from terminal, run:

wget /h2o-steam-3.46.0.12.jar

2. From your terminal, run:

java -jar h2o-steam-3.46.0.12.jar

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

A Python client without H₂O backend

1. To remove any previously installed form of the H₂O Python client, run:

pip uninstall h2o_client
pip uninstall h2o

2. Install a backendless H₂O-3 Python client by running the following:

pip install /Python/h2o_client-3.46.0.12-py2.py3-none-any.whl