Project details for MSVMpack

Logo JMLR MSVMpack 1.4

by lauerfab - August 30, 2013, 10:40:35 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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MSVMpack is dedicated to multi-class support vector machines (M-SVM), which can handle more than two classes without relying on decomposition methods, and implements the four M-SVM models from the literature: Weston and Watkins M-SVM, Crammer and Singer M-SVM, Lee, Lin and Wahba M-SVM, and the M-SVM2 of Guermeur and Monfrini.

MSVMpack provides the first parallel implementation of M-SVMs and use vectorized kernel functions depending on the data type for faster computations.

The software is based on two command-line tools, but also provides a full library (C API) to include its functionalities in other programs and a Matlab interface. Templates are provided to ease the addition of custom kernels.

MSVMpack now includes a web server, which offers a platform-independent GUI through a set of simple web pages. This means that training and testing can be easily controlled from a Windows computer (or even a tablet or smartphone) with network access to a Linux host running MSVMpack.

Changes to previous version:
  • Added parallelized k-Fold cross validation ('-cv k' option in trainmsvm)
  • Cache size now defaults to the maximum amount of memory
  • Minor bug fixes for the Matlab interface
BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Macosx, Platform Independent On The Client Side
Data Formats: Ascii, Matlab
Tags: Kernel, Svm, Support Vector Machines, Parallel, Msvm, Multiclass Support Vector Machine, Jmlr, Server
Archive: download here


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