Package: shogun-python-modular (0.9.3-4)

[ Source: 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, Software Development: Python Development, Libraries, Field: Biology, Bioinformatics, Mathematics, Statistics, Implemented in: C++, Python, Role: Development Library, Purpose: Analysing, Learning

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Architecture	Package Size	Installed Size	Files
amd64	3,122.0 kB	14,056.0 kB	[list of files]
armel	2,859.9 kB	13,144.0 kB	[list of files]
i386	3,004.1 kB	13,504.0 kB	[list of files]
ia64	3,690.0 kB	24,280.0 kB	[list of files]
kfreebsd-amd64	3,124.0 kB	14,026.0 kB	[list of files]
kfreebsd-i386	2,996.1 kB	13,450.0 kB	[list of files]
mips	2,350.0 kB	16,568.0 kB	[list of files]
mipsel	2,296.7 kB	16,568.0 kB	[list of files]
powerpc	3,025.5 kB	14,308.0 kB	[list of files]
s390	2,584.3 kB	14,260.0 kB	[list of files]
sparc	2,930.6 kB	14,240.0 kB	[list of files]