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yap-6.3/packages/CLPBN/examples/learning/prof_params.pfl

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/* Learn distribution for professor database. */
:- use_module(library(pfl)).
:- use_module(library(clpbn/learning/em)).
%:- set_em_solver(ve).
%:- set_em_solver(hve).
%:- set_em_solver(bdd).
%:- set_em_solver(bp).
%:- set_em_solver(cbp).
professor(p0).
professor(p1).
professor(p2).
professor(p3).
professor(p4).
professor(p5).
professor(p6).
professor(p7).
professor(p8).
bayes abi(K)::[h,m,l] ; abi_table ; [professor(K)].
bayes pop(K)::[h,m,l], abi(K) ; pop_table ; [professor(K)].
abi_table([0.3, 0.3, 0.4]).
pop_table([0.3, 0.3, 0.4, 0.3, 0.3, 0.4, 0.3, 0.3, 0.4]).
goal_list([
abi(p0,h),
abi(p1,m),
abi(p2,m),
abi(p3,m),
abi(p4,l),
pop(p5,h),
abi(p5,_),
abi(p6,_),
pop(p7,_)
]).
main :-
goal_list(L),
em(L, 0.01, 10, CPTs, Lik),
writeln(Lik:CPTs).