| PRTools contents |
SVMR
W = SVMR(X,NU,KTYPE,KPAR,EP)
| Input | |
| X | Regression dataset |
| NU | Fraction of objects outside the 'data tube' |
| KTYPE | Kernel type (default KTYPE='p', for polynomial) |
| KPAR | Extra parameter for the kernel |
| EP | Epsilon, with of the 'data tube' |
| Output | |
| W | Support vector regression |
Train an nu-Support Vector Regression on dataset X with parameter NU. The kernel is defined by kernel type KTYPE and kernel parameter KPAR. For the definitions of these kernels, have a look at proxm.m.
| PRTools contents |