--- name: "linclass" section: "1" platform: "linux" package: "libocas-tools" version: "0.93-1" release: "Debian 7 (Wheezy)" platforms: ["linux"] url: "https://new.carta.tech/linclass" --- # linclass(1) predict labels by a linear classification rule ## 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)](/svmocas/1.md) and [**msvmocas**(1)](/msvmocas/1.md), 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)](/svmocas/1.md) 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)](/svmocas/1.md), [**msvmocas**(1)](/msvmocas/1.md). ## AUTHORS linclass was written by Vojtech Franc \ and Soeren Sonnenburg \. This manual page was written by Christian Kastner \, for the Debian project (and may be used by others).