Difference between revisions of "Meteos"

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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).

Projects

Meteos

Python Meteos Client

Meteos UI

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

• PPT Slide

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

• Demo

https://www.youtube.com/watch?v=1t-OJ6-imHU&t=151s