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function predictedY = svcoutput(trnX,trnY,tstX,ker,alpha,bias,actfunc) 
%SVCOUTPUT Calculate SVC Output 
% 
%  Usage: predictedY = svcoutput(trnX,trnY,tstX,ker,alpha,bias,actfunc) 
% 
%  Parameters: trnX   - Training inputs 
%              trnY   - Training targets 
%              tstX   - Test inputs 
%              ker    - kernel function 
%              beta   - Lagrange Multipliers 
%              bias   - bias 
%              actfunc- activation function (0(default) hard | 1 soft)  
% 
%  Author: Steve Gunn (srg@ecs.soton.ac.uk) 
 
  if (nargin < 6 | nargin > 7) % check correct number of arguments 
    help svcoutput 
  else 
 
    if (nargin == 6) 
      actfunc = 0; 
    end 
    n = size(trnX,1); 
    m = size(tstX,1); 
    H = zeros(m,n);   
    for i=1:m 
      for j=1:n 
        H(i,j) = trnY(j)*svkernel(ker,tstX(i,:),trnX(j,:)); 
      end 
    end 
    if (actfunc) 
      predictedY = softmargin(H*alpha + bias); 
    else 
      predictedY = sign(H*alpha + bias); 
    end 
  end