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% Compare the speeds of various inference engines on a coupled HMM
N = 2;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 1;
if discrete
Y = 2; % size of output alphabet
else
Y = 1;
end
coupled = 1;
[bnet, onodes] = mk_chmm(N, Q, Y, discrete, coupled);
ss = N*2;
T = 3;
engine = {};
tic; engine{end+1} = jtree_dbn_inf_engine(bnet, 'observed', onodes); toc
%tic; engine{end+1} = jtree_ndxSD_dbn_inf_engine(bnet, onodes); toc
%tic; engine{end+1} = jtree_ndxB_dbn_inf_engine(bnet, onodes); toc
engine{end+1} = hmm_inf_engine(bnet, onodes);
%engine{end+1} = dhmm_inf_engine(bnet, onodes);
tic; engine{end+1} = jtree_unrolled_dbn_inf_engine(bnet, T, onodes); toc
%engine{end+1} = bk_inf_engine(bnet, 'ff', onodes);
%engine{end+1} = loopy_dbn_inf_engine(bnet, onodes);
exact = [1 2 3];
filter = 0;
single = 0;
maximize = 0;
[err, time, engine] = cmp_inference(bnet, onodes, engine, exact, T, filter, single, maximize);
%err = cmp_learning(bnet, onodes, engine, exact, T);
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