wolffd@0: function p = logist2Apply(beta, x)
wolffd@0: % LOGIST2APPLY 2 class logistic regression: compute posterior prob of class 1
wolffd@0: % function p = logist2Apply(beta, x)
wolffd@0: %
wolffd@0: % x(:,i) - each COLUMN is a test case; we append 1s automatically, if appropriate
wolffd@0: 
wolffd@0: [D Ncases] = size(x);
wolffd@0: if length(beta)==D+1
wolffd@0:   F = [x; ones(1,Ncases)];
wolffd@0: else
wolffd@0:   F = x;
wolffd@0: end
wolffd@0: p = 1./(1+exp(-beta(:)'*F));