| 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:
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 linclassif(1) using testing examples from riply_tst.light and save the predicted labels to riply_tst.pred:
linclassif -e -o riply_tst.pred riply_tst.light svmocas.model
SEE ALSO¶
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 <ckk@debian.org> for the Debian project (and may be used by others).
| June 16, 2010 |