The Official Mahout FAQ
General
- What is Apache Mahout?
- What does the name mean?
- Where can I find the origins of the Mahout project?
- Where can I download Mahout logo?
- Where can I download Mahout slide presentations?
Algorithms
- What algorithms are implemented in Mahout?
- What algorithms are missing from Mahout?
Answers
General
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Apache Mahout is a suite of machine learning libraries designed to be scalable and robust
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The name Mahout was original chosen for it's association with the Apache Hadoop project. A Mahout is a person who drives an elephant (hint: Hadoop's logo is an elephant.) We just wanted a name that complemented Hadoop but we see our project as a good driver of Hadoop in the sense that we will be using and testing it. We are not, however, implying that we are controlling Hadoop's development.
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See http://ml-site.grantingersoll.com for old wiki and mailing list archives (all read-only)
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See MAHOUT-335
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- Books, Tutorials and Talks Wiki page containing an overview of all presentations with links to slides where available.
Algorithms
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We are interested in a wide variety of machine learning algorithms. Many of which are already implemented in Mahout. You can find them here .
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There are many machine learning algorithms that we would like to have in Mahout, including some from the paper http://www.cs.stanford.edu/people/ang/papers/nips06-mapreducemulticore.pdf. If you have an algorithm or an improvement to an algorithm that you would like to implement, by all means submit a patch.This page has been moved. See: http://mahout.apache.org/general/faq.html