Error Using rbf kernel and poly kernel LS-SVM Toolbox

Hey, I'm having a problem here, I'm trying to train my data with rbf_kernel and poly_kernel of LS-SVM Toolbox Links Is Here link LS-SVMLAB 1.8 it stated that the function is

[alpha, b] = trainlssvm({X,Y,type,gam,sig2,'rbf_kernel',preprocess})

but it gives me an error when I use poly_kernel:

Attempted to access kernel_pars(2); index out of bounds because numel(kernel_pars)=1.

Error in kernel_matrix (line 80) omega = (Xtrain*Xtrain'+kernel_pars(1)).^kernel_pars(2);

Error in lssvmMATLAB (line 28) omega = kernel_matrix(model.xtrain(model.selector, 1:model.x_dim), ...

Error in trainlssvm (line 225) model = lssvmMATLAB(model);

When I use rbf_kernel :

Error in kernel_matrix (line 32) [nb_data,d] = size(Xtrain);

Output argument "omega" (and maybe others) not assigned during call to "C:\Program Files\MATLAB\R2012a\toolbox\lssvm\kernel_matrix.m>kernel_matrix".

Error in lssvmMATLAB (line 28) omega = kernel_matrix(model.xtrain(model.selector, 1:model.x_dim), ...

Error in trainlssvm (line 225) model = lssvmMATLAB(model);

before that, i stated gam = 10 and sig2 = 0.2

Is there anything that i have missed?