weka-doc - 3.6.14-2 main

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 documentation.

Priority: optional
Section: doc
Suites: amber byzantium crimson dawn landing 
Maintainer: Debian Java Maintainers <pkg-java-maintainers [꩜] lists.alioth.debian.org>
 
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