Downloading & Installing H2O

This section describes how to download and install the latest stable version of H2O. These instructions are also available on the H2O Download page.

Note: To download the nightly bleeding edge release, go to Choose the type of installation you want to perform (for example, “Install in Python”) by clicking on the tab.

Download and Run

  1. Click the Download H2O button on the page. This downloads a zip file that contains everything you need to get started.
  2. From your terminal, run:
cd ~/Downloads
cd h2o-
java -jar h2o.jar
  1. Point your browser to http://localhost:54321.

Install in R

Perform the following steps in R to install H2O. Copy and paste these commands one line at a time.

  1. 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") }
  1. Next, download packages that H2O depends on.
if (! ("methods" %in% rownames(installed.packages()))) { install.packages("methods") }
if (! ("statmod" %in% rownames(installed.packages()))) { install.packages("statmod") }
if (! ("stats" %in% rownames(installed.packages()))) { install.packages("stats") }
if (! ("graphics" %in% rownames(installed.packages()))) { install.packages("graphics") }
if (! ("RCurl" %in% rownames(installed.packages()))) { install.packages("RCurl") }
if (! ("jsonlite" %in% rownames(installed.packages()))) { install.packages("jsonlite") }
if (! ("tools" %in% rownames(installed.packages()))) { install.packages("tools") }
if (! ("utils" %in% rownames(installed.packages()))) { install.packages("utils") }
  1. Download and install the H2O package for R.
install.packages("h2o", type="source", repos=(c("")))
  1. Optionally initialize H2O and run a demo to see H2O at work.
localH2O = h2o.init()

Installing H2O’s R Package from CRAN

You can alternatively install H2O’s R package from CRAN at

Install in Python

Run the following commands in a Terminal window to install H2O for Python.

  1. Install dependencies (prepending with sudo if needed):
pip install requests
pip install tabulate
pip install scikit-learn
  1. Run the following command to remove any existing H2O module for Python.
pip uninstall h2o
  1. Use pip to install this version of the H2O Python module.
pip install -f h2o

Note: When installing H2O from pip in OS X El Capitan, users must include the --user flag. For example:

pip install -f h2o --user
  1. Optionally initialize H2O in Python and run a demo to see H2O at work.
import h2o

Install on Anaconda Cloud

This section describes how to set up and run H2O in an Anaconda Cloud environment. Conda 2.7 and 3.5 repos are supported as are a number of H2O versions. Refer to to view a list of available H2O versions.

Open a terminal window and run the following command to install H2O on the Anaconda Cloud.

user$ conda install -c h2oai h2o=

Note: The H2O version in the above command should match the version that you want to download.

After H2O is installed, refer to the Starting H2O from Anaconda section for information on how to start H2O and to view a GBM example run in Jupyter Notebook.

Install on Hadoop

  1. Go to Click on the Install on Hadoop tab, and 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. The example below describes how to unpack version Replace this version with the version that you downloaded.
unzip h2o-*.zip
cd h2o-*
hadoop jar h2odriver.jar -nodes 1 -mapperXmx 6g -output hdfsOutputDirName
  1. 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:]
[Possible callback IP address:]
Waiting for H2O cluster to come up...
H2O node requested flatfile
Sending flatfiles to nodes...
[Sending flatfile to node]
H2O node 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:

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