support vector classification machine

％　　soft margin

％　　uses \"kernel.m\"

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％　　xtrain: (Ltrain,N) with Ltrain: number of points N: dimension

％　　ytrain: (Ltrain,1) containing class labels (-1 or +1)

％　　xrun: (Lrun,N) with Lrun: number of points N: dimension

％　　atrain: alpha coefficients (from svcm_train on xtrain and ytrain)

％　　btrain: offest coefficient (from svcm_train on xtrain and ytrain)

％

％　　ypred: predicted y (Lrun,1) containing class labels (-1 or +1)

％　　margin: (signed) separation from the separating hyperplane (Lrun,1-support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1