Balík: weka (3.6.14-4)

[ Zdroj: 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.

Značky: Pole: Statistics, Implementované v: Java, User Interface: interface::commandline, interface::graphical, X Window System, Role: role::program, science::calculation, Scope: Utility, Purpose: Analyzovanie, use::calculating, works-with-format::TODO, Works with: Databázy, works-with::text, x11::application

Ostatné balíky súvisiace s balíkom weka

• dep: cup (>= 0.11a+20060608)

  LALR parser generator for Java(tm)

• dep: default-jre

  Standard Java or Java compatible Runtime

  alebo java7-runtime

  virtuálny balík poskytovaný balíkom default-jre, openjdk-17-jre, openjdk-21-jre

  alebo java6-runtime

  virtuálny balík poskytovaný balíkom default-jre, openjdk-17-jre, openjdk-21-jre

• dep: java-wrappers

  wrappery spustiteľných súborov java

• sug: libsvm-java

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

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Architektúra	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
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