Linux and UNIX Man Pages

Linux & Unix Commands - Search Man Pages

svmocas(1) [debian man page]

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)

Check Out this Related Man Page

mbtg(1) 						      General Commands Manual							   mbtg(1)

NAME
MBTG - Memory Based Tagger generator SYNOPSYS
mbtg -T <filename> -s <setting filename> or mbtg [options] DESCRIPTION
This programs generates, based on a tagged corpus, all the files needed to be able to tag a text with mbt. OPTIONS
-h or --help show help -T <tagged training corpus file> or -E <enriched tagged training corpus file> All further options have reasonable defaults, so using them is only needed for the experienced user. See the mbt manual for more details. -s settingsfile mbtg creates this file, which can be used to run mbt with minimal effort. (like mbt -s settings -T somefile) -p pattern the pattern for known words (default ddfa) -P pattern the pattern for unknown words (default dFapsss) -% <number> filter threshold for ambitag construction (default 5%) -l <lexiconfile> -L <file with list of frequent words> -r <ambitagfile> -k <known words case base> -u <unknown words case base> -K <known words instances file> -U <unknown words instances file> -V or --version show version info -e <sentence delimiter> (default '<utt>') -X keep the intermediate files -Otimbl options (Note: there is NO SPACE between O and the options) <options> classifier options for both known and unknown words instances bases K: <options> classifier options for known words instance base U: <options> classifier options for unknown words case base valid timbl options are: a d k m q v w x - BUGS
possibly AUTHORS
Ko van der Sloot Timbl@uvt.nl Antal van den Bosch Timbl@uvt.nl SEE ALSO
timbl(1) mbt(1) mbtserver(1) 2011 march 21 mbtg(1)
Man Page