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function tstY = svroutput(trnX,tstX,ker,beta,bias) 
%SVRMSE Calculate SVR Output 
% 
%  Usage: tstY = svroutput(trnX,tstX,ker,beta,bias) 
% 
%  Parameters: trnX   - Training inputs 
%              tstX   - Test inputs 
%              ker    - kernel function 
%              beta   - Difference of Lagrange Multipliers 
%              bias   - bias 
%              comp   - sparse components 
% 
%  Author: Steve Gunn (srg@ecs.soton.ac.uk) 
 
  if (nargin ~= 5) % check correct number of arguments 
    help svroutput 
  else 
 
    n = size(trnX,1); 
    m = size(tstX,1); 
    H = zeros(m,n);   
    for i=1:m 
      for j=1:n 
        H(i,j) = svkernel(ker,tstX(i,:),trnX(j,:)); 
      end 
    end 
    tstY = (H*beta +bias); 
 
  end