Java Machine Learning Library
- 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
* [http://www.abeel.be/java-ml Home page]
* [http://sourceforge.net/projects/java-ml Sourceforge project page]
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