MSVMOCAS(1)						      General Commands Manual						       MSVMOCAS(1)

NAME

       msvmocas - train a multi-class linear SVM classifier

SYNOPSIS

       msvmocas [options] example_file model_file

DESCRIPTION

       msvmocas  is  a	program  that  trains  a  multi-class linear SVM classifier using the Optimized Cutting Plane Algorithm for Support Vector
       Machines (OCAS) and produces a model file.

       example_file is a file with training examples in SVM^light format, and model_file is the file in which to store	the  learned  linear  rule
       f(x)=W'*x. model_file contains M columns and D lines, where M is the number of classes and D the number of dimensions, corresponding to the
       elements of the matrix W [D x M].

OPTIONS

       A summary of options is included below.

       General options:

       -h     Show summary of options.

       -v (0|1)
	      Set the verbosity level (default: 1)

       Learning options:

       -c float
	      Regularization constant C. (default: 1)

       -n integer
	      Use only the first integer examples for training. By default, integer equals the number of examples in example_file.

       Optimization options:

       -m (0|1)
	      Solver to be used:

		   0 ... standard cutting plane (equivalent to BMRM, SVM^perf)

		   1 ... OCAS (default)

       -s integer
	      Cache size for cutting planes. (default: 2000)

       Stopping conditions:

       -a float
	      Absolute tolerance TolAbs: halt if QP-QD <= TolAbs. (default: 0)

       -r float
	      Relative tolerance TolAbs: halt if QP-QD <= abs(QP)*TolRel.  (default: 0.01)

       -q float
	      Desired objective value QPValue: halt is QP <= QPValue. (default: 0)

       -t float
	      Halts if the solver time (loading time is not counted) exceeds the time given in seconds. (default: infinity)

EXAMPLES

       Train the multi-class SVM classifier from example file example4_train.light, with the regularization constant C=10, verbosity switched off,
       and save model to msvmocas.model:

		    msvmocas -c 10 -v 0 example4_train.light msvmocas.model

       Compute	the  testing error of the classifier stored in msvmocas.model with linclass(1) using testing examples from example4_test.light and
       save the predicted labels to example4_test.pred:

		    linclass -e -o example4_test.pred example4_test.light msvmocas.model

SEE ALSO

       svmocas(1), linclass(1).

AUTHORS

       msvmocas was written by Vojtech Franc <xfrancv@cmp.felk.cvut.cz> and Soeren Sonnenburg <Soeren.Sonnenburg@tu-berlin.de>.

       This manual page was written by Christian Kastner <debian@kvr.at>, for the Debian project (and may be used by others).

								   June 16, 2010						       MSVMOCAS(1)