e01e7cc8bf
git-svn-id: https://yap.svn.sf.net/svnroot/yap/trunk@1977 b08c6af1-5177-4d33-ba66-4b1c6b8b522a
111 lines
2.5 KiB
Prolog
111 lines
2.5 KiB
Prolog
/*
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cd ~/Yap/CLPBN/FullBNT-1.0.4
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addpath(genpathKPM(pwd))
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N = 4;
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dag = false(N,N);
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C = 1; S = 2; R = 3; W = 4;
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dag(C,[R S]) = 1;
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dag(R,W) = 1;
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dag(S,W)=1;
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discrete_nodes = 1:N;
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node_sizes = 2*ones(1,N);
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bnet = mk_bnet(dag, node_sizes, 'discrete', discrete_nodes);
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bnet.CPD{W} = tabular_CPD(bnet, W, 'CPT', [1 0.1 0.1 0.01 0 0.9 0.9 0.99]);
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bnet.CPD{C} = tabular_CPD(bnet, C, [0.5 0.5]);
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bnet.CPD{R} = tabular_CPD(bnet, R, [0.8 0.2 0.2 0.8]);
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bnet.CPD{S} = tabular_CPD(bnet, S, [0.5 0.9 0.5 0.1]);
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engine = jtree_inf_engine(bnet);
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evidence = cell(1,N);
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evidence{W} = 2;
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[engine, loglik] = enter_evidence(engine, evidence);
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marg = marginal_nodes(engine, S);
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marg.T
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*/
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:- ensure_loaded(library(matlab)).
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:- yap_flag(write_strings, on).
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% syntactic sugar for matlab_call.
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:- op(800,yfx,<--).
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G <-- Y :-
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matlab_call(Y,G).
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do(Out,Out2) :-
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init_bnt,
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N = 4,
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C = 1, S = 2, R = 3, W = 4,
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mkdag(N,[C-R,C-S,R-W,S-W]),
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matlab_sequence(1,N,discrete_nodes),
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mk2s(N,L), % domain has size 2
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matlab_matrix(1,N,L,node_sizes),
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bnet <-- mk_bnet(dag, node_sizes, \discrete, discrete_nodes),
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mkcpt(bnet,W,[1, 0.1, 0.1, 0.01, 0, 0.9, 0.9, 0.99]),
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mkcpt(bnet,C,[0.5, 0.5]),
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mkcpt(bnet,R,[0.8, 0.2, 0.2, 0.8]),
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mkcpt(bnet,S,[0.5, 0.9, 0.5, 0.1]),
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engine <-- jtree_inf_engine(bnet),
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mkevidence(N,[W-2]),
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marg <-- marginal_nodes(engine, S),
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matlab_get_variable( marg.'T', Out),
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add_evidence([R-2]),
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marg <-- marginal_nodes(engine, S),
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matlab_get_variable( marg.'T', Out2).
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init_bnt :-
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matlab_on, !.
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init_bnt :-
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getcwd(D),
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cd('~/Yap/CLPBN/FullBNT/BNT'),
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start_matlab('matlab -nojvm -nosplash'),
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matlab_eval_string("add_BNT_to_path",_),
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cd(D).
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mk2s(0, []) :- !.
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mk2s(I, [2|L]) :-
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I0 is I-1,
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mk2s(I0, L).
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mkdag(N,Els) :-
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Tot is N*N,
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functor(Dag,dag,Tot),
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add_els(Els,N,Dag),
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Dag=..[_|L],
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addzeros(L),
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matlab_matrix(N,N,L,dag).
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add_els([],_,_).
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add_els([X-Y|Els],N,Dag) :-
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Pos is (X-1)*N+Y,
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arg(Pos,Dag,1),
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add_els(Els,N,Dag).
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addzeros([]).
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addzeros([0|L]) :- !,
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addzeros(L).
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addzeros([1|L]) :-
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addzeros(L).
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mkcpt(BayesNet, V, Tab) :-
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(BayesNet.'CPD'({V})) <-- tabular_CPD(BayesNet,V,Tab).
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mkevidence(N,L) :-
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mkeventries(L,LN),
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matlab_initialized_cells( 1, N, LN, evidence),
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[engine, loglik] <-- enter_evidence(engine, evidence).
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mkeventries([],[]).
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mkeventries([A-V|L],[ev(1,A,V)|LN]) :-
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mkeventries(L,LN).
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add_evidence(L) :-
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add_to_evidence(L),
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[engine, loglik] <-- enter_evidence(engine, evidence).
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add_to_evidence([]).
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add_to_evidence([Pos-Val|L]) :-
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matlab_item1(evidence,Pos,Val),
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add_to_evidence(L).
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