Apache SAMOA Documentation

Apache SAMOA is a distributed realtime machine learning system, similar to Mahout, but specific designed for stream mining. Apache SAMOA is simple and fun to use!

This documentation is intended to give an introduction on how to use Apache SAMOA in different ways. As a user you can run Apache SAMOA algorithms into several Stream Processing Engines: local mode, Apache Storm, S4 and Samza. As a developer you can create new algorithms only once and test them in all of these Stream Processing Engines.

Getting Started

• 0 Hands-on with SAMOA: Getting Started!

Users

• 1 Building and Executing SAMOA
  • 1.0 Building SAMOA
  • 1.1 Executing SAMOA with Apache Storm
  • 1.2 Executing SAMOA with Apache S4
  • 1.3 Executing SAMOA with Apache Samza
• 2 Machine Learning Methods in SAMOA
  • 2.1 Prequential Evaluation Task
  • 2.2 Vertical Hoeffding Tree Classifier
  • 2.3 Adaptive Model Rules Regressor
  • 2.4 Bagging and Boosting
  • 2.5 Distributed Stream Clustering
  • 2.6 Distributed Stream Frequent Itemset Mining
  • 2.7 SAMOA for MOA users

Developers

• 3 Understanding SAMOA Topologies
  • 3.1 Processor
  • 3.2 Content Event
  • 3.3 Stream
  • 3.4 Task
  • 3.5 Topology Builder
  • 3.6 Learner
  • 3.7 Processing Item
• 4 Developing New Tasks in SAMOA

Getting help

Apache SAMOA Users

Samoa users should send messages and subscribe to users@samoa.incubator.apache.org.

You can subscribe to this list by sending an email to users-subscribe@samoa.incubator.apache.org. Likewise, you can cancel a subscription by sending an email to users-unsubscribe@samoa.incubator.org.

Apache SAMOA Developers

Storm developers should send messages and subscribe to dev@samoa.incubator.org.

You can subscribe to this list by sending an email to dev-subscribe@samoa.incubator.org. Likewise, you can cancel a subscription by sending an email to dev-unsubscribe@samoa.incubator.org.

NOTE: The google groups account samoa-user@googlegroups.com is now officially deprecated in favor of the Apache-hosted user/dev mailing lists.