comparison toolboxes/FullBNT-1.0.7/bnt/inference/static/@stab_cond_gauss_inf_engine/stab_cond_gauss_inf_engine.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1 function engine = stab_cond_gauss_inf_engine(bnet)
2 % STAB_COND_GAUSS_INF_ENGINE Junction tree using stable CG potentials
3 % engine = cond_gauss_inf_engine(bnet)
4 %
5 % This class was written by Shan Huang (shan.huang@intel.com) 2001
6 % and fixed by Rainer Deventer deventer@informatik.uni-erlangen.de March 2003
7 N = length(bnet.dag);
8 clusters = {};
9 root = N;
10 stages = { 1:N };
11 onodes = [];
12 engine = init_fields;
13 engine.evidence = [];
14 engine = class(engine, 'stab_cond_gauss_inf_engine', inf_engine(bnet));
15
16 ns = bnet.node_sizes(:);
17 ns(onodes) = 1; % observed nodes have only 1 possible value
18
19 %[engine.jtree, dummy, engine.cliques, B, w, elim_order, moral_edges, fill_in_edges, strong] = ...
20 % dag_to_jtree(bnet, onodes, stages, clusters);
21
22
23 partial_order = determine_elim_constraints(bnet, onodes);
24 strong = ~isempty(partial_order);
25 stages = {};
26 clusters = {};
27 [engine.jtree, dummy_root, engine.cliques, B, w, elim_order] =
28 graph_to_jtree(moralize(bnet.dag), ns, partial_order, stages, clusters);
29
30
31 engine.cliques_bitv = B;
32 engine.clique_weight = w;
33 C = length(engine.cliques);
34 engine.clpot = cell(1,C);
35
36 % A node can be a member of many cliques, but is assigned to exactly one, to avoid
37 % double-counting its CPD. We assign node i to clique c if c is the "lightest" clique that
38 % contains i's family, so it can accomodate its CPD.
39
40 engine.clq_ass_to_node = zeros(1, N);
41 num_cliques = length(engine.cliques);
42 for i=1:N
43 clqs_containing_family = find(all(B(:,family(bnet.dag, i)), 2)); % all selected columns must be 1
44 c = clqs_containing_family(argmin(w(clqs_containing_family)));
45 engine.clq_ass_to_node(i) = c;
46 end
47
48 % Compute the separators between connected cliques.
49 [is,js] = find(engine.jtree > 0);
50 engine.separator = cell(num_cliques, num_cliques);
51 for k=1:length(is)
52 i = is(k); j = js(k);
53 engine.separator{i,j} = find(B(i,:) & B(j,:)); % intersect(cliques{i}, cliques{j});
54 end
55 %keyboard;
56 engine.seppot = cell(C,C);
57
58 pot_type = 'scg';
59 check_for_cd_arcs([], bnet.cnodes, bnet.dag);
60
61 % Make the jtree rooted, so there is a fixed message passing order.
62 if strong
63 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
64 % Start the search for the strong root at the clique with the %
65 % highest number. %
66 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
67 root = length(engine.cliques);
68 root_found = 0;
69
70 while ((~root_found) & (root >= 1))
71 root_found = test_strong_root(engine.jtree,engine.cliques,bnet.dnodes,root);
72 if ~root_found
73 root = root - 1;
74 end
75 end
76 assert(root > 0)
77 engine.root = root;
78 % the last clique is guaranteed to be a strong root
79 %engine.root = length(engine.cliques);
80 else
81 % jtree_dbn_inf_engine requires the root to contain the interface.
82 % This may conflict with the strong root requirement! *********** BUG *************
83 engine.root = clq_containing_nodes(engine, root);
84 if engine.root <= 0
85 error(['no clique contains ' num2str(root)]);
86 end
87 end
88
89 [engine.jtree, engine.preorder, engine.postorder] = mk_rooted_tree(engine.jtree, engine.root);
90
91 % Evaluate CPDs with evidence, and convert to potentials
92 pot = cell(1, N);
93 inited = zeros(1, C);
94 clpot = cell(1, C);
95 evidence = cell(1, N);
96 for n=1:N
97 fam = family(bnet.dag, n);
98 e = bnet.equiv_class(n);
99 %pot{n} = CPD_to_scgpot(bnet.CPD{e}, fam, ns, bnet.cnodes, evidence);
100 pot{n} = convert_to_pot(bnet.CPD{e}, pot_type, fam(:), evidence);
101 cindex = engine.clq_ass_to_node(n);
102 if inited(cindex)
103 clpot{cindex} = direct_combine_pots(pot{n}, clpot{cindex});
104 else
105 clpot{cindex} = pot{n};
106 inited(cindex) = 1;
107 end
108 end
109
110 for i=1:C
111 if inited(i) == 0
112 clpot{i} = scgpot([], [], [], []);
113 end
114 end
115
116 seppot = cell(C, C);
117 % separators are is not need to initialize
118
119 % collect to root (node to parents)
120 % Unlike the HUGIN architecture the complements are stored in the cliques during COLLECT
121 % and the separators are not playing a specific role during this process
122 for n=engine.postorder(1:end-1)
123 for p=parents(engine.jtree, n)
124 if ~isempty(engine.separator{p,n})
125 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
126 % The empty case might happen for unlinked nodes, i.e. the DAG is not %
127 % a single tree, but a forest %
128 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
129 [margpot, comppot] = complement_pot(clpot{n}, engine.separator{p,n});
130 clpot{n} = comppot;
131 clpot{p} = combine_pots(clpot{p}, margpot);
132 end
133 end
134 end
135
136 % distribute message from root
137 % We have not to store the weak clique marginals and keep the original complement potentials.
138 % This is a minor variation of HUGIN architecture.
139 temppot = clpot;
140 for n=engine.preorder
141 for c=children(engine.jtree, n)
142 seppot{n,c} = marginalize_pot(temppot{n}, engine.separator{n,c});
143 temppot{c} = direct_combine_pots(temppot{c}, seppot{n,c});
144 end
145 end
146
147 engine.clpot = clpot;
148 engine.seppot = seppot;
149
150 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
151 % init_fields() %
152 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
153 function engine = init_fields()
154
155 engine.evidence = [];
156 engine.jtree = [];
157 engine.cliques = [];
158 engine.cliques_bitv = [];
159 engine.clique_weight = [];
160 engine.preorder = [];
161 engine.postorder = [];
162 engine.root = [];
163 engine.clq_ass_to_node = [];
164 engine.separator = [];
165 engine.clpot =[];
166 engine.seppot = [];
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