annotate toolboxes/FullBNT-1.0.7/bnt/CPDs/@gaussian_CPD/convert_to_table.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function T = convert_to_table(CPD, domain, evidence)
wolffd@0 2 % CONVERT_TO_TABLE Convert a Gaussian CPD to a table
wolffd@0 3 % T = convert_to_table(CPD, domain, evidence)
wolffd@0 4
wolffd@0 5
wolffd@0 6 sz = CPD.sizes;
wolffd@0 7 ns = zeros(1, max(domain));
wolffd@0 8 ns(domain) = sz;
wolffd@0 9
wolffd@0 10 odom = domain(~isemptycell(evidence(domain)));
wolffd@0 11 ps = domain(1:end-1);
wolffd@0 12 cps = ps(CPD.cps);
wolffd@0 13 dps = ps(CPD.dps);
wolffd@0 14 self = domain(end);
wolffd@0 15 cdom = [cps(:)' self];
wolffd@0 16 ddom = dps;
wolffd@0 17 cnodes = cdom;
wolffd@0 18
wolffd@0 19 [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence);
wolffd@0 20
wolffd@0 21
wolffd@0 22 ns(odom) = 1;
wolffd@0 23 dpsize = prod(ns(dps));
wolffd@0 24 self = domain(end);
wolffd@0 25 assert(myismember(self, odom));
wolffd@0 26 self_val = evidence{self};
wolffd@0 27 T = zeros(dpsize, 1);
wolffd@0 28 if length(cps) > 0
wolffd@0 29 assert(~any(isemptycell(evidence(cps))));
wolffd@0 30 cps_vals = cat(1, evidence{cps});
wolffd@0 31 for i=1:dpsize
wolffd@0 32 T(i) = gaussian_prob(self_val, m(:,i) + W(:,:,i)*cps_vals, C(:,:,i));
wolffd@0 33 end
wolffd@0 34 else
wolffd@0 35 for i=1:dpsize
wolffd@0 36 T(i) = gaussian_prob(self_val, m(:,i), C(:,:,i));
wolffd@0 37 end
wolffd@0 38 end