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Transfer Learning From Multiple Source Domains via Consensus Regularization
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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)
