SYNOPSIS
svmocas [options] example_file model_fileDESCRIPTION
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 (01)
 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 (01)
 Value of the L2bias 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 (01)

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 QPQD <= TolAbs. (default: 0)
 r float
 Relative tolerance TolAbs: halt if QPQD <= 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
AUTHORS
svmocas was written by Vojtech Franc <[email protected]> and Soeren Sonnenburg <[email protected]>.This manual page was written by Christian Kastner <[email protected]> for the Debian project (and may be used by others).