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Package: shogun-python (0.9.1-1 and others)

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 static Python package without using swig.

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Download shogun-python

Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha 0.9.1-1 40.1 kB444 kB [list of files]
amd64 0.9.1-1 41.7 kB432 kB [list of files]
armel 0.9.1-1 38.0 kB424 kB [list of files]
hppa 0.9.1-1 41.8 kB436 kB [list of files]
i386 0.9.1-1 40.0 kB428 kB [list of files]
ia64 0.9.1-1 45.2 kB480 kB [list of files]
kfreebsd-amd64 0.9.1-1 41.4 kB258 kB [list of files]
kfreebsd-i386 0.9.1-1 39.7 kB256 kB [list of files]
mips 0.9.1-1 38.1 kB436 kB [list of files]
mipsel 0.9.1-1 37.3 kB436 kB [list of files]
powerpc 0.9.1-1+b1 41.5 kB436 kB [list of files]
s390 0.9.1-1 39.5 kB432 kB [list of files]
sparc 0.9.1-1 38.3 kB428 kB [list of files]