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meteos
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Machine Learning as a Service in Apache Spark.
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Hiroyuki Eguchi 786806e5d3 Refactoring for pep8 
implements blueprint unit-testing

Change-Id: Ie80a1f26c167c2b36f6c06852e2d625b58f4c614
 		2017-01-22 15:17:43 +09:00
devstack Initial commit 2016-12-08 12:33:50 +00:00
etc Initial commit 2016-12-08 12:33:50 +00:00
meteos Refactoring for pep8 2017-01-22 15:17:43 +09:00
releasenotes/notes Initial commit 2016-12-08 12:33:50 +00:00
.gitreview Added .gitreview 2016-10-14 11:58:15 +00:00
CONTRIBUTING.rst Initial commit 2016-12-08 12:33:50 +00:00
HACKING.rst Initial commit 2016-12-08 12:33:50 +00:00
LICENSE Initial commit 2016-12-08 12:33:50 +00:00
README.rst Initial commit 2016-12-08 12:33:50 +00:00
babel.cfg Initial commit 2016-12-08 12:33:50 +00:00
pylintrc Initial commit 2016-12-08 12:33:50 +00:00
requirements.txt Initial commit 2016-12-08 12:33:50 +00:00
setup.cfg Initial commit 2016-12-08 12:33:50 +00:00
setup.py Initial commit 2016-12-08 12:33:50 +00:00
test-requirements.txt Initial commit 2016-12-08 12:33:50 +00:00
tox.ini Refactoring for pep8 2017-01-22 15:17:43 +09:00

README.rst

Meteos

You have come across an OpenStack Machine Learning service. It has identified itself as "Meteos." It was abstracted from the Manila project.

Getting Started

If you'd like to run from the master branch, you can clone the git repo:

git clone https://github.com/openstack/meteos.git

For developer information please see HACKING.rst

You can raise bugs here http://bugs.launchpad.net/meteos

Python client

https://github.com/openstack/python-meteosclient.git