Difference between revisions of "Meteos"
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| − | == Meteos (Machine Learning as a Service) == | + | == Meteos (Machine Learning as a Service) (Deprecated) == |
| + | (check the new design and mission of [[Meteos/Meteos2.0]]) | ||
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Meteos is Machine Learning as a Service (MLaaS) in Apache Spark. | Meteos is Machine Learning as a Service (MLaaS) in Apache Spark. | ||
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Meteos is named from Meteo (Meteorologist) + OS (OpenStack). | Meteos is named from Meteo (Meteorologist) + OS (OpenStack). | ||
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| + | [[File:Meteos-overview.png]] | ||
== Projects == | == Projects == | ||
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* [[Meteos/API| Meteos API]] | * [[Meteos/API| Meteos API]] | ||
| − | == Examples == | + | == Examples (CLI) == |
* [[Meteos/ExampleLinear| Predict a Sales Figures by using LinearRegression Model]] | * [[Meteos/ExampleLinear| Predict a Sales Figures by using LinearRegression Model]] | ||
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| − | |||
* [[Meteos/ExampleDecisionTree| Make a Decision to buy a stock by using DecisionTree Model]] | * [[Meteos/ExampleDecisionTree| Make a Decision to buy a stock by using DecisionTree Model]] | ||
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* [[Meteos/ExampleWord2Vec| Search Synonyms by using Word2Vec Model]] | * [[Meteos/ExampleWord2Vec| Search Synonyms by using Word2Vec Model]] | ||
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| + | == Examples (GUI) == | ||
| + | |||
| + | * [[Meteos/ExampleNativebyes| Detect a Spam Mail using Native byes Model]] | ||
| + | |||
| + | == Tips == | ||
| + | |||
| + | * [[Meteos/Howto| How to increase the model accuracy]] | ||
| + | |||
| + | == 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 | ||
Latest revision as of 04:04, 8 July 2018
Contents
Meteos (Machine Learning as a Service) (Deprecated)
(check the new design and mission of Meteos/Meteos2.0)
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).
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
