NAME
svm-grid - a parameter selection tool for LIBSVM
SYNOPSIS
svm-grid [-log2c begin,end,step ] [ -log2g begin,end,step ] [ -v fold ]
[ -svmtrain pathname ] [ -gnuplot pathname ] [ -out pathname ] [ -png
pathname ] [ additional_parameters_for_svm-train ] dataset
DESCRIPTION
grid.py is a parameter selection tool for C-SVM classification using
the RBF (radial basis function) kernel. It uses cross validation (CV)
technique to estimate the accuracy of each parameter combination in the
specified range and helps you to decide the best parameters for your
problem.
FILES
See svm-train(1) for the format of dataset
EXAMPLES
svm-grid -log2c -5,5,1 -log2g -4,0,1 -v 5 -m 300 heart_scale
BUGS
Please report bugs to the Debian BTS.
AUTHOR
Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai
<ctse.tsai@gmail.com> (packaging)
SEE ALSO
svm-train(1), svm-predict(1)