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)

Linux                                               DEC 2009                                         svm-grid(1)