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[ Источник: shogun  ]

Пакет: shogun-dbg (0.9.1-1build1) [universe]

Ссылки для shogun-dbg


Ресурсы Ubuntu:

Исходный код shogun:


Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.

Original Maintainer (usually from Debian):

  • Soeren Sonnenburg

It should generally not be necessary for users to contact the original maintainer.

Внешние ресурсы:

Подобные пакеты:

Large Scale Machine Learning Toolbox

SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. The input feature-objects can be dense, sparse or strings and of type int/short/double/char and can be converted into different feature types. Chains of preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing.

SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This package contains debug symbols for all interfaces.

Другие пакеты, относящиеся к shogun-dbg

  • зависимости
  • рекомендации
  • предложения
  • enhances
  • dep: libshogun6 (= 0.9.1-1build1)
    Large Scale Machine Learning Toolbox
  • dep: libshogunui3 (= 0.9.1-1build1)
    Large Scale Machine Learning Toolbox

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amd64 22 552,3 Кб88 868,0 Кб [список файлов]
i386 21 233,5 Кб67 348,0 Кб [список файлов]