mahout
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Mirror of Apache Mahout
Welcome to Apache Mahout!
Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of algorithms for classification, clustering, frequent item set mining, genetic programming and collaborative filtering. Mahout is scalable along three dimensions: It scales to reasonably large data sets by leveraging algorithm properties or implementing versions based on Apache Hadoop. It scales to your perferred business case as it is distributed under a commercially friendly license. In addition it scales in terms of support by providing a vibrant, responsive and diverse community.
Getting Started
See https://cwiki.apache.org/MAHOUT/quickstart.html
To compile the sources run 'mvn -DskipTests clean install' To run all the tests run 'mvn test' To setup your ide run 'mvn eclipse:eclipse' or 'mvn idea:idea' For more info on maven see http://maven.apache.org
For more information on how to contribute see:
https://cwiki.apache.org/confluence/display/MAHOUT/How+To+Contribute
Legal
Please see the NOTICE.txt included in this directory for more information.
Documentation
See http://mahout.apache.org/.