svmtoy_manual.txt

libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It s

svm-toy:

	This is a simple graphical interface which shows how SVM
	separate data in a plane. You can click in the window to 
	draw data points. Use "change" button to choose class 
	1, 2 or 3 (i.e., up to three classes are supported), "load"
	button to load data from a file, "save" button to save data to
	a file, "run" button to obtain an SVM model, and "clear"
	button to clear the window.


NOTE: 
        After clicking it open, you may have to stretch the window a little
        to see the characters at the bottom row.

        At this point, you may not need "save" or "load" button.

        In the blank area, you will see "-t 2 -c 100". 
        It means "RBF kernel" and "lambda=100", where "gamma is default as 0.5".

        ( "c" here means "lambda" in the class ) 




You can change the parameters as follows:


-t kernel_type : set type of kernel function (default 2)

	0 -- linear: u'*v
	1 -- polynomial: (gamma*u'*v + coef0)^degree
	2 -- radial basis function: exp(-gamma*|u-v|^2)
	3 -- sigmoid: tanh(gamma*u'*v + coef0)

-c cost : set the slack penalty parameter (default 1), i.e. "lambda" in the class

-g gamma : set gamma in kernel function (default 1/D), where D is the dimension

-r coef0 : set coef0 in kernel function (default 0)

-d degree : set degree in kernel function (default 3)