Difference between revisions of "Mahout"
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Mahout also contains implementations of several [[collaborative filtering]] algorithms. | 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 [http://hadoop.apache.org Apache Hadoop]. | + | 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]. |
== Literature == | == Literature == | ||
Revision as of 11:19, 18 November 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.
Literature
- Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman: Mahout in Action, Manning, 2011.
