% Create the training corpus label vector
Y = [repmat(-1,[1 500]), repmat(1,[1 500])]';
% Create the format vector for writing SVM data
FMT=['%f',repmat(' %d:%f',[1 size(X_TRAIN,2)]), '\n'];
% Open an output file, and write out data vectors using column-order fprintf
fid=fopen('data1.txt','w');
for I=1:1000,
  fprintf(fid,FMT, Y(I), [1:size(X_TRAIN,2); X_TRAIN(I,:)]);
end
fclose(fid);
% Read input from support_vectors.txt, delimited by colon or space
A = textread('support_vectors.txt,'','whitespace',' :\b\t');
alpha=A(:,1);
support_vectors=A(:,3:2:size(A,2));