SHOGUN 1.0.0 Release Machine learning Toolbox

Shogun is a machine learning toolkit that focuses on large kernel methods and support vector Machine (SVM) toolkits. It provides a universal SVM object interface connected to different SVM implementations and efficient kernel implementations. In addition to supporting SVMS and regression analysis, Shogun also has linear methods such as linear discriminant analysis (LDA), linear programming Machines (LPM), (kernel) perceptron, and algorithms for hiding Markov models. Shogun can be used for C++++,matlab, R,octave, and Python.

SHOGUN 1.0.0 release of the new language, including: java,c#,http://www.aliyun.com/zixun/aggregation/13430.html ">ruby,lua, select the framework of the model, a number of dimensionality reduction technology, Gaussian mixture model estimation, and a comprehensive online learning framework interface.

Software Information: http://www.shogun-toolbox.org/

Download Address:

Source code:http://shogun-toolbox.org/archives/shogun/releases/1.0/sources/shogun-1.0.0.tar.bz2

Source Code Md5sum:http://shogun-toolbox.org/archives/shogun/releases/1.0/sources/shogun-1.0.0.md5sum

Source Code PGP SIGNATURE:HTTP://SHOGUN-TOOLBOX.ORG/ARCHIVES/SHOGUN/RELEASES/1.0/SOURCES/SHOGUN-1.0.0.TAR.BZ2.GPG

data:http://shogun-toolbox.org/archives/shogun/data/shogun-data-0.2.tar.bz2

Data Md5sum:http://shogun-toolbox.org/archives/shogun/data/shogun-data-0.2.md5sum