| svm-grid(1) | User Manuals | svm-grid(1) |
svm-grid - a parameter selection tool for LIBSVM
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 <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging)
| DEC 2009 | Linux |