Package: weka
Version: 3.6.14-4build1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
Installed-Size: 13203
Depends: cup (>= 0.11a+20060608), default-jre | java7-runtime | java6-runtime, java-wrappers
Suggests: libsvm-java
Section: science
Priority: optional
Homepage: https://www.cs.waikato.ac.nz/~ml/weka/
Description: 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.
