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1 | 1 | Welcome to Apache Mahout!
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2 | 2 |
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| -Mahout is a scalable machine learning library that implements many different |
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| -approaches to machine learning. The project currently contains implementations |
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| -of algorithms for classification, clustering, genetic programming and |
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| -collaborative filtering, all enabled to scale by leveraging the power of |
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| -Hadoop's Map-Reduce (http://hadoop.apache.org) implementation. |
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| - |
| 3 | +Mahout is a scalable machine learning library that implements many different |
| 4 | +approaches to machine learning. The project currently contains |
| 5 | +implementations of algorithms for classification, clustering, frequent item |
| 6 | +set mining, genetic programming and collaborative filtering. Mahout is |
| 7 | +scalable along three dimensions: It scales to reasonably large data sets by |
| 8 | +leveraging algorithm properties or implementing versions based on Apache |
| 9 | +Hadoop. It scales to your perferred business case as it is distributed under |
| 10 | +a commercially friendly license. In addition it scales in terms of support |
| 11 | +by providing a vibrant, responsive and diverse community. |
| 12 | + |
9 | 13 | Getting Started
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10 | 14 |
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11 | 15 | See https://cwiki.apache.org/MAHOUT/quickstart.html
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12 | 16 |
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| 17 | +To compile the sources run 'mvn clean install' |
| 18 | +To run all the tests run 'mvn test' |
| 19 | +To setup your ide run 'mvn eclipse:eclipse' or 'mvn idea:idea' |
| 20 | +For more info on maven see http://maven.apache.org |
| 21 | + |
| 22 | +For more information on how to contribute see: |
| 23 | + |
| 24 | + https://cwiki.apache.org/confluence/display/MAHOUT/How+To+Contribute |
| 25 | + |
| 26 | + |
13 | 27 | Legal
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14 | 28 |
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15 | 29 | Please see the NOTICE.txt included in this directory for more information.
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