deb_control_files:
- control
- md5sums
deb_fields:
Architecture: all
Depends: cup (>= 0.11a+20060608), default-jre | java7-runtime | java6-runtime, java-wrappers
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.
Homepage: http://www.cs.waikato.ac.nz/~ml/weka/
Installed-Size: '13119'
Maintainer: Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
Package: weka
Priority: optional
Section: science
Suggests: libsvm-java
Version: 3.6.14-3
srcpkg_name: weka
srcpkg_version: 3.6.14-3