% learn distribution for school database.
:- use_module(library(pfl)).
:- use_module(library(clpbn/learning/em)).
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,_)]).
professor(p0).
professor(p1).
professor(p2).
professor(p3).
professor(p4).
professor(p5).
professor(p6).
professor(p7).
professor(p8).
%:- clpbn:set_clpbn_flag(em_solver,gibbs).
%:- clpbn:set_clpbn_flag(em_solver,jt).
%:- clpbn:set_clpbn_flag(em_solver,ve).
:- clpbn:set_clpbn_flag(em_solver,bp).
timed_main :-
statistics(runtime, _),
main(Lik),
statistics(runtime, [T,_]),
format('Took ~d msec and Lik ~3f~n',[T,Lik]).
main(Lik) :-
goal_list(L),
% run_queries(L),
em(L,0.01,10,_,Lik).
run_queries([]).
run_queries(Q.L) :-
call(Q),
run_queries(L).
