Apache Mahout

For Creating Scalable Performant Machine Learning Applications

Download Mahout
Currently v14.1

Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end, or can be extended to other distributed backends.

  • Mathematically Expressive Scala DSL
  • Support for Multiple Distributed Backends (including Apache Spark)
  • Modular Native Solvers for CPU/GPU/CUDA Acceleration

Recent News

June 01, 2021

Zeppelin Quickstart

Apache Zeppelin Quickstart

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February 02, 2021

Weekly Meeting Minutes 2021-02-02

Recap Since Last Time

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January 05, 2021

Weekly Meeting Minutes 2021-01-05

Andrew showed Trevor how to file his first board report.

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December 15, 2020

Weekly Meeting Minutes 2020-12-15

Trevor able to do Mahout in-core matrix addition in Python. Will continue working, but good first step. Want to see POC that DRMs will also “work” and then will sketch...

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December 08, 2020

Weekly Meeting Minutes 2020-12-08

New Meeting time is Tuesdays, still hammering down final time.

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