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Meteos

Meteos (Machine Learning as a Service)

Meteos is Machine Learning as a Service (MLaaS) in Apache Spark.

Meteos allows users to analyze huge amount of data and predict a value by data mining and machine learning algorithms. Meteos create a workspace of Machine Learning via sahara spark plugin and manage some resources and jobs regarding Machine Learning.

Meteos is named from Meteo (Meteorologist) + OS (OpenStack).

Meteos-overview.png

Projects

Meteos

Source code https://github.com/openstack/meteos
Bug tracker https://bugs.launchpad.net/meteos
Feature tracker https://blueprints.launchpad.net/meteos

Python Meteos Client

Source code https://github.com/openstack/python-meteosclient
Bug tracker https://bugs.launchpad.net/python-meteosclient
Feature tracker https://blueprints.launchpad.net/python-meteosclient

Meteos UI

Source code https://github.com/openstack/meteos-ui
Bug tracker https://bugs.launchpad.net/meteos-ui
Feature tracker https://blueprints.launchpad.net/meteos-ui

IRC

http://webchat.freenode.net/?channels=openstack-meteos

Design & Use Cases

Getting Started with Meteos

Instructions for getting started with Meteos using Devstack are available at: Meteos on Devstack

API

Examples (CLI)

Examples (GUI)

Tips

Boston Summit

  • PPT Slide

https://www.slideshare.net/guchi_hiro/openstack-meteos-machine-learning-as-a-service

  • Demo

https://www.youtube.com/watch?v=YFv6SQvqNFs