[ddp] weka : Machine learning algorithms for data mining tasks

[daily-debian-package at enix.org]

Hello,

Today, I'm happy to present you the Debian package weka, which is part
of the science section, and maintained by Debian Java Maintainers
<pkg-java-maintainers at lists.alioth.debian.org>. 

This package contains : Machine learning algorithms for data mining
tasks.

Weka is a collection of machine learning algorithms in Java that can
either be used from the command-line, or called from your own Java
code. Weka is also ideally suited for developing new machine learning
schemes.

Implemented schemes cover decision tree inducers, rule learners, model
tree generators, support vector machines, locally weighted regression,
instance-based learning, bagging, boosting, and stacking. Also included
are clustering methods, and an association rule learner. Apart from
actual learning schemes, Weka also contains a large variety of tools
that can be used for pre-processing datasets.

This package contains the binaries and examples.


Package homepage     :
 http://packages.debian.org/unstable/science/weka

Package bug homepage :
 http://bugs.debian.org/weka

Package QA homepage  :
 http://packages.qa.debian.org/weka

Have fun with Debian packages !

-- 
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Daily-debian-package at the-doors.enix.org
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