Kernel method for SVM cannot be chosen in Workbench. In the parameters dialog, only C and Gamma parameters can be set - both for "Basic SVM Training" and "Search SVM Training". According to http://www.heatonresearch.com/wiki/Support_Vector_Machine, there should be 5 kernels available: rbf, linear, poly, precomputed, sigmoid (rbf is used automatically).
Kernel method for SVM cannot be chosen in Workbench. In the parameters dialog, only C and Gamma parameters can be set - both for "Basic SVM Training" and "Search SVM Training". According to http://www.heatonresearch.com/wiki/Support_Vector_Machine, there should be 5 kernels available: rbf, linear, poly, precomputed, sigmoid (rbf is used automatically).