Java Machine Learning Library

The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. These algorithms are well documented, both in the source code as on the documentation site. Besides real machine learning algorithms also a lot of supporting classes are provided: distance measures, evaluation criteria, datasets for validation purposes and some sample code.

Features

• A collection of machine learning techniques.
• With a common interface for all techniques so it is easy to switch from one algorithm to another.
• Entire implementation in Java.
• This library is aimed at software engineers and programmers.
• No GUI or command line interface, it is a library.
• These should become reference implementations for algorithms described in the scientific literature.
• As it will become a library with reference implementations is should be well documented.

See also

• RapidMiner (formerly YALE (Yet Another Learning Environment)) open-source machine learning framework implemented in Java fully integrating Weka
• Weka open-source data mining application
• List of numerical analysis software
• Data mining

External links

• Home page
• Sourceforge project page