The machine learning library for Apache Spark, providing scalable algorithms and tools for ML pipelines.

High performance scientific and technical computing data structures and methods, mostly based on CERN's Colt Java API

Scalable machine learning libraries

Scalable machine learning libraries

Machine Learning

Declarative Machine Learning

Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to ...