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.

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

Getting Started with Meteos

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

Design & Use Cases

• Meteos Architecture

• Meteos Use Cases

• Meteos Resources

• Meteos Prediction Models

API

• Meteos API

Examples

• Predict Sales by using LinearRegression Model

• Predict Victory or Defeat by using LogisticRegression Model

• Make a Decision by using DecisionTree Model

• Clustering User Preferences by using Kmeans Model

• Recommend Movie by using Recommendation Model