Provided by: libocas-tools_0.97+dfsg-6_amd64
linclassif - predict labels by a linear classification rule
linclassif [options] example_file model_file
linclassif 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.
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
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: linclassif -e -o riply_tst.pred riply_tst.light svmocas.model
linclassif was written by Vojtech Franc <firstname.lastname@example.org> and Soeren Sonnenburg <Soeren.Sonnenburg@tu-berlin.de>. This manual page was written by Christian Kastner <email@example.com>, for the Debian project (and may be used by others). August 24, 2014 LINCLASSIF(1)