weka_3.6.6-1_all.deb


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Description

weka - Machine learning algorithms for data mining tasks

Property Value
Distribution Debian 7 (Wheezy)
Repository Debian Main i386
Package name weka
Package version 3.6.6
Package release 1
Package architecture all
Package type deb
Installed size 7.68 KB
Download size 6.81 MB
Official Mirror ftp.br.debian.org
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.

Alternatives

Package Version Architecture Repository
weka_3.6.6-1_all.deb 3.6.6 all Debian Main
weka - - -

Requires

Name Value
cup >= 0.11a+20060608
default-jre -
java-wrappers -
openjdk-6-jre -
sun-java6-jre -

Download

Type URL
Binary Package weka_3.6.6-1_all.deb
Source Package weka

Install Howto

  1. Update the package index:
    # sudo apt-get update
  2. Install weka deb package:
    # sudo apt-get install weka

Files

Path
/usr/bin/weka
/usr/share/applications/weka.desktop
/usr/share/doc/weka/README.gz
/usr/share/doc/weka/changelog.Debian.gz
/usr/share/doc/weka/copyright
/usr/share/doc/weka/examples/ReutersCorn-test.arff.gz
/usr/share/doc/weka/examples/ReutersCorn-train.arff.gz
/usr/share/doc/weka/examples/ReutersGrain-test.arff.gz
/usr/share/doc/weka/examples/ReutersGrain-train.arff.gz
/usr/share/doc/weka/examples/contact-lenses.arff
/usr/share/doc/weka/examples/cpu.arff.gz
/usr/share/doc/weka/examples/cpu.with.vendor.arff.gz
/usr/share/doc/weka/examples/diabetes.arff.gz
/usr/share/doc/weka/examples/glass.arff.gz
/usr/share/doc/weka/examples/ionosphere.arff.gz
/usr/share/doc/weka/examples/iris.arff.gz
/usr/share/doc/weka/examples/labor.arff.gz
/usr/share/doc/weka/examples/segment-challenge.arff.gz
/usr/share/doc/weka/examples/segment-test.arff.gz
/usr/share/doc/weka/examples/soybean.arff.gz
/usr/share/doc/weka/examples/supermarket.arff.gz
/usr/share/doc/weka/examples/vote.arff.gz
/usr/share/doc/weka/examples/weather.arff
/usr/share/doc/weka/examples/weather.nominal.arff
/usr/share/java/weka-3.6.6.jar
/usr/share/java/weka.jar
/usr/share/man/man1/weka.1.gz

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