Project details for MSVMpack

Logo JMLR MSVMpack 1.5.1

by lauerfab - March 9, 2017, 12:29:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

view (3 today), download ( 0 today ), 0 subscriptions


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.

Changes to previous version:
  • Fix compilation error with recent gcc
BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Macosx, Windows
Data Formats: Ascii, Matlab
Tags: Kernel, Svm, Support Vector Machines, Parallel, Msvm, Multiclass Support Vector Machine, Server
Archive: download here

Other available revisons

Version Changelog Date
  • Fix compilation error with recent gcc
March 9, 2017, 12:29:37
  • Windows binaries are now included (by Emmanuel Didiot)
  • MSVMpack can now be compiled on Windows (by Emmanuel Didiot)
  • Fixed polynomial kernel
  • Minor bug fixes
July 3, 2014, 16:02:49
  • 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
August 30, 2013, 10:40:35
  • Added Matlab interface.
April 23, 2013, 10:44:37
  • Added MSVMpack Server and Web interface
  • Now becomes platform-independent at the client side
  • Can import files in LibSVM data format and raw matrix format
  • Model is saved periodically during training
February 7, 2013, 13:25:44
  • Possibility to choose different values of C for different classes (useful for unbalanced data sets)
  • Sets the number of working threads at runtime (through the command-line option '-t')
  • Builds on Mac OS X
  • Small changes in the model files
  • Several bug fixes
October 25, 2011, 14:24:21

Bibtex entry of the corresponding JMLR paper.

July 10, 2011, 12:09:12


No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.