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).



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

Design & Use Cases

 * Meteos Architecture


 * Meteos Use Cases


 * Meteos Dataset and Prediction Model

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

API

 * Meteos API

Examples (CLI)

 * Predict a Sales Figures by using LinearRegression Model


 * Make a Decision to buy a stock by using DecisionTree Model


 * Classify Users by Skill using Kmeans Model


 * Recommend a Movie by using Recommendation Model


 * Search Synonyms by using Word2Vec Model

Examples (GUI)

 * Detect a Spam Mail using Native byes Model

Tips

 * How to increase the model accuracy

Boston Summit
https://www.slideshare.net/guchi_hiro/openstack-meteos-machine-learning-as-a-service
 * PPT Slide

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