Name		Name	Last commit message	Last commit date
parent directory ..
GLRM_performance_tests		GLRM_performance_tests
conda/h2o		conda/h2o
demos		demos
docs		docs
dynamic_tests/testdir_algos		dynamic_tests/testdir_algos
h2o		h2o
scripts		scripts
src/main/java/water		src/main/java/water
test_cloud		test_cloud
tests		tests
tests_rest_smoke		tests_rest_smoke
.gitignore		.gitignore
DESCRIPTION.rst		DESCRIPTION.rst
MANIFEST.in		MANIFEST.in
README.md		README.md
assembly_demo.py		assembly_demo.py
build.gradle		build.gradle
dist-readme.txt		dist-readme.txt
docs-requirements.txt		docs-requirements.txt
package_upload_steps.txt		package_upload_steps.txt
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
test-requirements.txt		test-requirements.txt

README.md

Using H2O from Python

Prerequisites:

Python 2.7 or 3.5
Numpy 1.9.2 or greater

This module depends on requests, tabulate, and scikit-learn modules, all of which are available on pypi:

$ pip install requests
$ pip install tabulate
$ pip install scikit-learn

Downloading and Installing

You can always download the latest stable version of the h2o Python package from the following page: http://h2o-release.s3.amazonaws.com/h2o/latest_stable.html

Review the installation instructions on the download page.

Alternatively, you can build the h2o Python package from source (see below).

Building it yourself

The Python package is built as part of the normal build process.

Clone the h2o-3 repository on GitHub.

In the top-level h2o-3 directory, use $ ./gradlew build.

To build the Python component by itself, first type $ cd h2o-py, and then type $ ../gradlew build.

Documentation/References