Man page - msvmocas(1)

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Manual

MSVMOCAS

NAME
SYNOPSIS
DESCRIPTION
OPTIONS
EXAMPLES
SEE ALSO
AUTHORS

NAME

msvmocas - train a multi-class linear SVM classifier

SYNOPSIS

msvmocas [ options ] example_file model_file

DESCRIPTION

msvmocas is a program that trains a multi-class 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 SVMˆlight format, and model_file is the file in which to store the learned linear rule f(x)=W’*x . model_file contains M columns and D lines, where M is the number of classes and D the number of dimensions, corresponding to the elements of the matrix W [D x M] .

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 )

-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, SVMˆperf)

1 ... OCAS (default)

-s integer

Cache size for cutting planes. (default: 2000 )

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 multi-class SVM classifier from example file example4_train.light , with the regularization constant C=10, verbosity switched off, and save model to msvmocas.model :

msvmocas -c 10 -v 0 example4_train.light msvmocas.model

Compute the testing error of the classifier stored in msvmocas.model with linclassif (1) using testing examples from example4_test.light and save the predicted labels to example4_test.pred :

linclassif -e -o example4_test.pred example4_test.light msvmocas.model

AUTHORS

msvmocas 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).