shogun-readline
Posted by ~Ray @ 2008-01-01 21:15:49
SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on give 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 enter 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 convey) 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.[ADVERTHERE]Related article:
http://potd.redsymbol.net/?p=shogun-readline
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