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| Developer(s) | Apache Software Foundation |
|---|---|
| Initial release | 7 April 2009[1] |
| Stable release | 14.1
/ 7 October 2020[2] |
| Repository | Mahout Repository |
| Written in | Java, Scala |
| Operating system | Cross-platform |
| Type | Machine Learning |
| License | Apache License 2.0 |
| Website | mahout |
Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focused on Apache Spark.[3][4] Mahout also provides Java/Scala libraries for common math operations (focused on linear algebra and statistics) and primitive Java collections. Mahout is a work in progress; a number of algorithms have been implemented.[5]
- ^ "Apache Mahout: First release 0.1 released".
- ^ "Apache Mahout: Scalable machine learning and data mining". Retrieved 6 March 2019.
- ^ "Introducing Apache Mahout". ibm.com. 2011. Retrieved 13 September 2011.
- ^ "InfoQ: Apache Mahout: Highly Scalable Machine Learning Algorithms". infoq.com. 2011. Retrieved 13 September 2011.
- ^ "Algorithms - Apache Mahout - Apache Software Foundation". cwiki.apache.org. 2011. Archived from the original on 22 December 2013. Retrieved 13 September 2011.