svm-grid1
A parameter selection tool for libsvm
Usage
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
Overview
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
Releases
8 releases since Debian 6.0 (Squeeze); the text changed 1 time.