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[ Kaynak: python-shogun  ]

Paket: python-shogun (3.2.0-5.2)

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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 package contains the static and the modular Python interfaces.

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python-shogun indir

Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
amd64 3.379,9 kB18.825,0 kB [dosya listesi]
arm64 3.002,2 kB19.041,0 kB [dosya listesi]
armhf 3.053,0 kB14.376,0 kB [dosya listesi]
i386 3.233,2 kB17.101,0 kB [dosya listesi]