SHOGUN 0.4.1 (Default branch)

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SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.

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License: GNU General Public License (GPL)

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Changes:
This release contains many minor fixes, among them fixes for SVMLin, the python and R examples, and cplex 10 compatibility fixes. It also includes new methods, such as liblinear and the local alignment kernel.

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