Pakket: shogun-python-modular (1.1.0-4 en anderen)

[ Bron: shogun  ]

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 modular Python package employing swig.

Tags: Biology: Nucleic Acids, Softwareontwikkeling: Ontwikkelen in Python, devel::library, field::biology, Field: Bioinformatics, field::mathematics, field::statistics, Implemented in: C++, implemented-in::python, role::devel-lib, Purpose: Analysing, Learning

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shogun-python-modular downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Versie	Pakketgrootte	Geïnstalleerde grootte	Bestanden
alpha (unofficial port)	0.10.0-2.1	5.004,6 kB	18.707,0 kB	[overzicht]
amd64	1.1.0-4	5.806,7 kB	26.644,0 kB	[overzicht]
armel	1.1.0-4	5.019,2 kB	21.333,0 kB	[overzicht]
armhf (unofficial port)	0.10.0-2.1	4.676,3 kB	13.384,0 kB	[overzicht]
hppa	0.10.0-2	5.197,4 kB	23.708,0 kB	[overzicht]
i386	1.1.0-4	5.899,6 kB	27.178,0 kB	[overzicht]
ia64	0.10.0-2.1	5.634,9 kB	30.528,0 kB	[overzicht]
kfreebsd-amd64	0.10.0-2.1	5.003,2 kB	16.778,0 kB	[overzicht]
kfreebsd-i386	0.10.0-2.1	4.883,7 kB	16.378,0 kB	[overzicht]
mips	0.10.0-2.1	4.185,3 kB	18.576,0 kB	[overzicht]
mipsel	0.10.0-2.1	4.110,9 kB	18.572,0 kB	[overzicht]
powerpc	1.1.0-1	5.326,4 kB	23.548,0 kB	[overzicht]
powerpcspe (unofficial port)	0.10.0-2	4.882,1 kB	17.004,0 kB	[overzicht]
s390x	1.1.0-4	5.659,0 kB	25.309,0 kB	[overzicht]
sh4 (unofficial port)	0.10.0-2.1+b1	5.346,9 kB	17.864,0 kB	[overzicht]
sparc	1.1.0-4	5.234,6 kB	24.041,0 kB	[overzicht]