Paket: weka (3.6.14-4)

[ Quellcode: weka  ]

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.

Markierungen: Feld: Statistik, Implementiert in: Java, Benutzer-Schnittstellen: interface::commandline, interface::graphical, X-Window-System, Rolle: role::program, science::calculation, Zweck: Hilfswerkzeug, Zweck: Analyse, use::calculating, works-with-format::TODO, Arbeitet mit: Datenbanken, works-with::text, x11::application

Andere Pakete mit Bezug zu weka

• dep: cup (>= 0.11a+20060608)

  LALR-Parser-Generator für Java(tm)

• dep: default-jre

  Standard Java or Java compatible Runtime

  oder java7-runtime

  virtuelles Paket, bereitgestellt durch default-jre, openjdk-11-jre, openjdk-17-jre, openjdk-19-jre, openjdk-20-jre, openjdk-21-jre, openjdk-22-jre, openjdk-23-jre, openjdk-8-jre

  oder java6-runtime

  virtuelles Paket, bereitgestellt durch default-jre, openjdk-11-jre, openjdk-17-jre, openjdk-19-jre, openjdk-20-jre, openjdk-21-jre, openjdk-22-jre, openjdk-23-jre, openjdk-8-jre

• dep: java-wrappers

  Wrapper für ausführbare Java-Programme

• sug: libsvm-java

  Java API to support vector machine library (libsvm.jar)

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