LINCLASS(1) General Commands Manual LINCLASS(1)
NAME
linclass - predict labels by a linear classification rule
SYNOPSIS
linclass [options] example_file model_file
DESCRIPTION
linclass is a program that predicts labels by a linear classification rule.
example_file is a file with testing examples in SVM^light format, and model_file is the file which contains either a binary (two-class)
rule f(x)=w'*x+w0 or a multi-class rule f(x)=W'*x. These are produced svmocas(1) and msvmocas(1), respectively.
OPTIONS
A summary of options is included below.
-h Show summary of options.
-v (0|1)
Set the verbosity level (default: 1)
-e Print the classification error computed from predicted labels and labels contained in example_file.
-o out_file
Save predictions to the file out_file.
-t (0|1)
Output type:
0 ... predicted labels (default)
1 ... discriminant values
EXAMPLES
Train the multi-class SVM classifier from example file fiply_trn.light, using svmocas(1) with the regularization constant C=10, 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 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
svmocas(1), msvmocas(1).
AUTHORS
linclass 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 LINCLASS(1)
