Difference between revisions of "Mahout"
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'''Apache Mahout''' is a scalable machine learning library that supports large data sets. | '''Apache Mahout''' is a scalable machine learning library that supports large data sets. | ||
Mahout also contains implementations of several [[collaborative filtering]] algorithms. | Mahout also contains implementations of several [[collaborative filtering]] algorithms. | ||
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| + | Mahout is written in Java, parts of it are written using the MapReduce programming paradigm in order to enable large scale distribution of algorithmic computation using [http://hadoop.apache.org Apache Hadoop]. | ||
== External links == | == External links == | ||
Revision as of 16:43, 27 September 2011
Apache Mahout is a scalable machine learning library that supports large data sets. Mahout also contains implementations of several collaborative filtering algorithms.
Mahout is written in Java, parts of it are written using the MapReduce programming paradigm in order to enable large scale distribution of algorithmic computation using Apache Hadoop.
