Skip to content
Sections
>> Trisquel >> Пакеты >> nabia >> doc >> weka-doc
etiona  ] [  nabia  ] [  aramo  ]
[ Источник: weka  ]

Пакет: weka-doc (3.6.14-1)

Ссылки для weka-doc

weka-doc

Ресурсы Trisquel:

Исходный код weka:

Сопровождающий:

Original Maintainers:

Внешние ресурсы:

Подобные пакеты:

documentation for the Weka machine learning suite

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 documentation.

Другие пакеты, относящиеся к weka-doc

  • зависимости
  • рекомендации
  • предложения
  • rec: weka
    Machine learning algorithms for data mining tasks

Загрузка weka-doc

Загрузить для всех доступных архитектур
Архитектура Размер пакета В установленном виде Файлы
all 4 661,2 Кб43779 Кб [список файлов]