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)