linclass1
Predict labels by a linear classification rule
Usage
linclass [options]
example_file
model_file
Overview
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
Releases
Unchanged in 2 releases since Debian 6.0 (Squeeze).