Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_kernel/convert_to_pot.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_kernel/convert_to_pot.m Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,37 @@ +function pot = convert_to_pot(CPD, pot_type, domain, evidence) +% CONVERT_TO_POT Convert a tabular CPD to one or more potentials +% pot = convert_to_pot(CPD, pot_type, domain, evidence) + +% This is the same as discrete_CPD/convert_to_pot, +% except we didn't want to the kernel to inherit methods like sample_node etc. + +sz = CPD.sz; +ns = zeros(1, max(domain)); +ns(domain) = sz; + +odom = domain(~isemptycell(evidence(domain))); +T = convert_to_table(CPD, domain, evidence); + +switch pot_type + case 'u', + pot = upot(domain, sz, T, 0*myones(sz)); + case 'd', + ns(odom) = 1; + pot = dpot(domain, ns(domain), T); + case 'c', + % Since we want the output to be a Gaussian, the whole family must be observed. + % In other words, the potential is really just a constant. + p = T.p; + %p = prob_node(CPD, evidence(domain(end)), evidence(domain(1:end-1))); + ns(domain) = 0; + pot = cpot(domain, ns(domain), log(p)); + case 'cg', + T = T(:); + ns(odom) = 1; + can = cell(1, length(T)); + for i=1:length(T) + can{i} = cpot([], [], log(T(i))); + end + pot = cgpot(domain, [], ns, can); +end +