svm-grid - a parameter selection tool for LIBSVM

       Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging)

       Please report bugs to the Debian BTS.

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.

       svm-grid -log2c -5,5,1 -log2g -4,0,1 -v 5 -m 300 heart_scale

       See svm-train(1) for the format of dataset

       svm-grid - a parameter selection tool for LIBSVM

svm-train(1), svm-predict(1)

Linux                                               DEC 2009                                         svm-grid(1)

svm-grid[-log2cbegin,end,step][-log2gbegin,end,step][-vfold][-svmtrainpathname][-gnuplotpathname][-outpathname][-pngpathname][additional_parameters_for_svm-train]dataset