60 lines
1.1 KiB
Plaintext
60 lines
1.1 KiB
Plaintext
% learn distribution for school database.
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:- use_module(library(pfl)).
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:- use_module(library(clpbn/learning/em)).
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bayes abi(K)::[h,m,l] ; abi_table ; [professor(K)].
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bayes pop(K)::[h,m,l], abi(K) ; pop_table ; [professor(K)].
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abi_table([0.3,0.3,0.4]).
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pop_table([0.3,0.3,0.4,0.3,0.3,0.4,0.3,0.3,0.4]).
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goal_list([/*abi(p0,h),
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abi(p1,m),
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abi(p2,m),
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abi(p3,m),*/
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abi(p4,l),
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pop(p5,h),
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abi(p5,_),
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abi(p6,_),
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pop(p7,_)]).
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professor(p0).
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professor(p1).
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professor(p2).
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professor(p3).
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professor(p4).
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professor(p5).
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professor(p6).
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professor(p7).
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professor(p8).
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%:- clpbn:set_clpbn_flag(em_solver,gibbs).
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%:- clpbn:set_clpbn_flag(em_solver,jt).
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:- clpbn:set_clpbn_flag(em_solver,hve).
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:- clpbn:set_clpbn_flag(em_solver,ve).
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%:- clpbn:set_clpbn_flag(em_solver,bp).
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%:- clpbn:set_clpbn_flag(em_solver,bdd).
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timed_main :-
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statistics(runtime, _),
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main(Lik),
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statistics(runtime, [T,_]),
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format('Took ~d msec and Lik ~3f~n',[T,Lik]).
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main(Lik) :-
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goal_list(L),
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% run_queries(L),
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em(L,0.01,10,_,Lik).
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run_queries([]).
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run_queries(Q.L) :-
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call(Q),
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run_queries(L).
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