Welcome to Apache Mahout! Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of algorithms for classification, clustering, genetic programming and collaborative filtering, all enabled to scale by leveraging the power of Hadoop's Map-Reduce (http://hadoop.apache.org) implementation. Getting Started See http://cwiki.apache.org/MAHOUT/quickstart.html Legal Please see the NOTICE.txt included in this directory for more information. Documentation See http://lucene.apache.org/mahout and http://cwiki.apache.org/MAHOUT.
fcastanedo/LatentFactorLogLinear
Implementation of Latent factor log linear models for Mahout
JavaApache-2.0