svm-grid (1)

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

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.

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

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

Please report bugs to the Debian BTS.

Chih-Chung Chang, Chih-Jen Lin <[email protected]>, Chen-Tse Tsai <[email protected]> (packaging)

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