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BNS Scaling: An Improved Representation over TF.IDF for SVM Text Classification
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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)
