Пакет: weka (3.6.14-4)

[ Источник: 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.

Теги: Область: Статистика, Реализовано на: Java, Пользовательский интерфейс: interface::commandline, interface::graphical, X Window System, Роль: role::program, science::calculation, Область: Утилита, Цель: Анализ, use::calculating, works-with-format::TODO, Работает с: Базы данных, works-with::text, x11::application

Другие пакеты, относящиеся к weka

• dep: cup (>= 0.11a+20060608)

  LALR parser generator for Java(tm)

• dep: default-jre

  Standard Java or Java compatible Runtime

  или java7-runtime

  виртуальный пакет, предоставляемый default-jre, openjdk-17-jre, openjdk-21-jre

  или java6-runtime

  виртуальный пакет, предоставляемый default-jre, openjdk-17-jre, openjdk-21-jre

• dep: java-wrappers

  обертки для исполняемых java

• sug: libsvm-java

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

Загрузка weka

Загрузить для всех доступных архитектур

Архитектура	Размер пакета	В установленном виде	Файлы
all	6 541,0 Кб	13 185,0 Кб	[список файлов]