| Welcome to Apache Mahout! |
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| 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. |
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| Getting Started |
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| See https://cwiki.apache.org/MAHOUT/quickstart.html |
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| 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 |
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| For more information on how to contribute see: |
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| https://cwiki.apache.org/confluence/display/MAHOUT/How+To+Contribute |
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| Legal |
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| Please see the NOTICE.txt included in this directory for more information. |
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| Documentation |
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| See http://mahout.apache.org/. |
