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SHOGUN

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The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. ... [More] SHOGUN also implements a number of linear methods. It allows the input feature-objects to be dense, sparse or strings and of type int/short/double/char. It provides efficient implementations several kernels but also linear methods, hidden markov models etc. and interfaces to matlab,octave,python,R and has a cmdline interface and allows C++ extensions via a library. [Less]

5.0
 
  0 reviews  |  10 users  |  452,576 lines of code  |  42 current contributors  |  Analyzed 1 day ago
  matlab textclassification supportvectormachine machinelearning svm large-scale learning supervisedlearning kmeans optimization python standalone 4 more...
 
 
 
 

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