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)