SVMOCAS(1)						      General Commands Manual							SVMOCAS(1)

NAME

       svmocas - train a binary linear SVM classifier

SYNOPSIS

       svmocas [options] example_file model_file

DESCRIPTION

       svmocas	is  a  program	that trains a binary 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+w0.  model_file  contains  d lines, where d is the number of data dimensions. The first n lines are coordinates of w and the last
       line is w0.

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)

       -C constants_file
	      If specified, each example has a different regularization constant, taken from the text file constants_file. Each line of  the  text
	      file must contain a single constant (positive double) for the corresponding example. If -C is used, then the -c option is ignored.

       -b (0|1)
	      Value of the L2-bias feature. A value of 0 implies not having bias.  (default: 0)

       -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)

       -p integer
	      Number of threads. (default: 1)

       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 binary SVM classifier from riply_trn.light, with the regularization constant C=10, bias switched on, verbosity switched off, and
       save model to svmocas.model:

		    svmocas -c 10 -b 1 -v 0 riply_trn.light svmocas.model

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

		    linclass -e -o riply_tst.pred riply_tst.light svmocas.model

SEE ALSO

       msvmocas(1), linclass(1).

AUTHORS

       svmocas 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							SVMOCAS(1)