svm-grid(1) 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 <[email protected]>, Chen-Tse Tsai <[email protected]> (packaging)