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linclassif - Online in the Cloud

Run linclassif in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command linclassif that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


linclassif - predict labels by a linear classification rule

SYNOPSIS


linclassif [options] example_file model_file

DESCRIPTION


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.

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:

linclassif -e -o riply_tst.pred riply_tst.light svmocas.model

Use linclassif online using onworks.net services


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