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Project Description

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. Along with real machine learning algorithms, many supporting algorithms are provided: distance measures, evaluation criteria, data sets for validation purposes, and some sample code.

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2008-11-19 22:41
0.1.1

This is a major upgrade from the previous release,
0.0.16. The core of the library has been rewritten
entirely, and this release is no longer compatible
with previous releases. A number of new algorithms
were also implemented.
Tags: Major feature enhancements

2007-10-19 14:59
0.0.12

This release adds numerous new algorithms and some
improvements to the
current algorithms. It includes real wavelet
transforms (Sombrero,
Morlet, Gauss, and Der Gauss), a fast
implementation of the Dynamic Time
Warping algorithm, a Fast Fourier Transform
filter, support for Complex
numbers, discretization filters, and some feature
selection techniques
(PCA, FCBF).
Tags: Minor feature enhancements

2007-09-10 20:10
0.0.11

Tags: Initial freshmeat announcement

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