Description:

SVQP1 and SVQP2 are QP solvers for training SVM.

• SVQP1 is a solver for convex programming problems with box constraints and at most one equality constraint. It uses the modified gradient projection method (see http://leon.bottou.org/papers/bottou-lin-2006) and can be used as the internal solver in a decomposition loop. This has mostly an historical interest.

• SVQP2 is a state-of-the-art SMO solver for quadratic programming problems with box constraints and at most one equality constraint. It performs roughly like LIBSVM or SVMLight, sometimes a bit faster, sometimes a bit slower. It comes as a compact library that is easy to reuse for other algorithms. For instance, the UniverSVM code uses SVQP2 inside.

Both SVQP1 and SVQP2 can be used as standalone c++ libraries or can be exploited using lush bindings. These are not standalone programs.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Cygwin, Linux, Macosx, Windows

Data Formats: None

Tags: Support Vector Machine, Kernelmachine, Svm

Archive: download here

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