objf_svm_acokfold.m

利用蚁群算法和PSO算法实现MALDI_TOF数据分析

% ========================================================================================
function err = objf_svm2_kfold(agent_theta,y)

  agent = agent_theta;
  [n,m] = size(agent);
  [nv,ns] = size(y.sample_tr);

  data = [y.sample_tr]';
  groups = [y.label_tr]';
  k=4; % k-fold
%  cp = classperf(groups);
%  kfun = 'linear';
  indices = crossvalind('Kfold',groups,k);
  for i=1:m
    vindex = agent(:,i);
        
        sum =0;
        for j =1:k
 %           cp = classperf(groups);
            test = (indices == j);
            train = ~test;

%vindex
            [AlphaY,SVs,Bias,Parameters,nSV,nLabel] = LinearSVC(data(train,vindex)',groups(train)',2);
            [ClassRate,DV,Ns,ConfMatrix,PreLabels] = SVMTest(data(test,vindex)',groups(test)',AlphaY,SVs,Bias,Parameters,nSV,nLabel);
            sum = sum + ClassRate;     
%             
        end
       err(i) = 100*(1-(sum/k));
%      err(i) = 100*sum/k;
  end
%   err = err';
return
% ========================================================================================