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[ Zdroj: shogun  ]

Balík: shogun-cmdline-static (3.2.0-8 a iné)

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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 is the Readline package.

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Stiahnuť pre všetky dostupné architektúry
Architektúra Verzia Veľkosť balíka Nainštalovaná veľkosť Súbory
amd64 3.2.0-8+b1 938.7 kB1,089.0 kB [zoznam súborov]
arm64 3.2.0-8+b1 936.5 kB1,085.0 kB [zoznam súborov]
armhf 3.2.0-8+b1 936.7 kB1,068.0 kB [zoznam súborov]
i386 3.2.0-8+b1 938.4 kB1,080.0 kB [zoznam súborov]