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 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/.