Mercurial > hg > camir-aes2014
comparison 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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-1:000000000000 | 0:e9a9cd732c1e |
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1 function pot = convert_to_pot(CPD, pot_type, domain, evidence) | |
2 % CONVERT_TO_POT Convert a tabular CPD to one or more potentials | |
3 % pot = convert_to_pot(CPD, pot_type, domain, evidence) | |
4 | |
5 % This is the same as discrete_CPD/convert_to_pot, | |
6 % except we didn't want to the kernel to inherit methods like sample_node etc. | |
7 | |
8 sz = CPD.sz; | |
9 ns = zeros(1, max(domain)); | |
10 ns(domain) = sz; | |
11 | |
12 odom = domain(~isemptycell(evidence(domain))); | |
13 T = convert_to_table(CPD, domain, evidence); | |
14 | |
15 switch pot_type | |
16 case 'u', | |
17 pot = upot(domain, sz, T, 0*myones(sz)); | |
18 case 'd', | |
19 ns(odom) = 1; | |
20 pot = dpot(domain, ns(domain), T); | |
21 case 'c', | |
22 % Since we want the output to be a Gaussian, the whole family must be observed. | |
23 % In other words, the potential is really just a constant. | |
24 p = T.p; | |
25 %p = prob_node(CPD, evidence(domain(end)), evidence(domain(1:end-1))); | |
26 ns(domain) = 0; | |
27 pot = cpot(domain, ns(domain), log(p)); | |
28 case 'cg', | |
29 T = T(:); | |
30 ns(odom) = 1; | |
31 can = cell(1, length(T)); | |
32 for i=1:length(T) | |
33 can{i} = cpot([], [], log(T(i))); | |
34 end | |
35 pot = cgpot(domain, [], ns, can); | |
36 end | |
37 |