Apache Mahout is an open source software library written in the Java programming language and designed to help users build machine learning libraries.
Apache Mahout features collaborative filtering, user and item based recommenders, K-Means and Fuzzy K-Means clustering, Mean Shift clustering, Dirichlet process clustering, Latent Dirichlet allocation, singular value decomposition, parallel frequent pattern mining, complementary Naive Bayes classifier, and random forest decision tree-based classifier.
Moreover, the project includes high performance Java collections (previously known as colt collections), a vibrant community, and many more other cool stuff for your to discover. It is distributed as a standalone application by the Apache Software Foundation.
What is new in this release:
- Numerous performance improvements to Vector and Matrix implementations, API's and their iterators (see also MAHOUT-1192, MAHOUT-1202)
- Numerous performance improvements to the recommender implementations (see also MAHOUT-1272, MAHOUT-1035, MAHOUT-1042, MAHOUT-1151, MAHOUT-1166, MAHOUT-1167, MAHOUT-1169, MAHOUT-1205, MAHOUT-1264)
- MAHOUT-1088: Support for biased item-based recommender
- MAHOUT-1089: SGD matrix factorization for rating prediction with user and item biases
- MAHOUT-1106: Support for SVD++
- MAHOUT-944: Support for converting one or more Lucene storage indexes to SequenceFiles as well as an upgrade of the supported Lucene version to Lucene 4.3.1.
- MAHOUT-1154 and friends: New streaming k-means implementation that offers on-line (and fast) clustering
- MAHOUT-833: Make conversion to SequenceFiles Map-Reduce, 'seqdirectory' can now be run as a MapReduce job.
- MAHOUT-1052: Add an option to MinHashDriver that specifies the dimension of vector to hash (indexes or values).
- MAHOUT-884: Matrix Concat utility, presently only concatenates two matrices.
- MAHOUT-1187: Upgraded to CommonsLang3
- MAHOUT-916: Speedup the Mahout build by making tests run in parallel.
- The usual bug fixes.
Requirements:
- Java 2 Standard Edition Runtime Environment
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