svmocas − train a binary linear SVM classifier
svmocas [options] example_file model_file
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.
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)
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
svmocas was written by Vojtech Franc <xfrancv AT cmp DOT felk DOT cvut DOT cz> and Soeren Sonnenburg <Soeren DOT Sonnenburg AT tu-berlin DOT de>.
This manual page was written by Christian Kastner <ckk AT debian DOT org> for the Debian project (and may be used by others).