Apache SAMOA

Scalable Advanced Massive Online Analysis

Apache SAMOA is currently undergoing Incubation at the Apache Software Foundation.
New Release 0.2.0 !
View on GitHub yahoo/samoa

SAMOA

Apache SAMOA is distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.

Apache SAMOA enables development of new ML algorithms without dealing with the complexity of underlying streaming processing engines (SPE, such as Apache Storm and Apache S4). Apache SAMOA users can develop distributed streaming ML algorithms once and execute the algorithms in multiple SPEs, i.e., code the algorithms once and execute them in multiple SPEs.

Slides

SAMOA Slides

G. De Francisci Morales SAMOA: A Platform for Mining Big Data Streams Keynote Talk at RAMSS '13: 2nd International Workshop on Real-Time Analysis and Mining of Social Streams WWW, Rio De Janeiro, 2013.

Video

NoSQL matters Conference, Barcelona 2013

Apache SAMOA Developer's Guide

SAMOA Developer's guide

API Javadoc Reference

http://samoa.incubator.apache.org/docs/api

Mailing lists

User support and questions mailing list: users@samoa.incubator.apache.org

Development related discussions: dev@samoa.incubator.apache.org

All commits to git code repository: commits@samoa.incubator.apache.org

Contributors

List of contributors to the SAMOA project.

License

The use and distribution terms for this software are covered by the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0.html).

Build Apache SAMOA

Getting Started

Apache Incubator

Apache SAMOA is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the name of Apache TLP sponsor. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.