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.
