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yap-6.3/CLPBN/clpbn/display.yap
2007-07-13 00:52:54 +00:00

66 lines
1.5 KiB
Prolog

:- module(clpbn_display, [
clpbn_bind_vals/3]).
:- use_module(library(lists),
[
member/2
]).
:- use_module(dists, [get_dist_domain/2]).
:- attribute posterior/4.
%
% what is actually output
%
attribute_goal(V, G) :-
get_atts(V, [posterior(Vs,Vals,Ps,AllDiffs)]),
massage_out(Vs, Vals, Ps, G, AllDiffs, V).
massage_out([], Ev, _, V=Ev, _, V) :- !.
massage_out(Vs, [D], [P], p(CEqs)=P, AllDiffs, _) :- !,
gen_eqs(Vs,D,Eqs),
add_alldiffs(AllDiffs,Eqs,CEqs).
massage_out(Vs, [D|Ds], [P|Ps], (p(CEqs)=P,G) , AllDiffs, V) :-
gen_eqs(Vs,D,Eqs),
add_alldiffs(AllDiffs,Eqs,CEqs),
massage_out(Vs, Ds, Ps, G, AllDiffs, V).
gen_eqs([V], [D], (V=D)) :- !.
gen_eqs([V], D, (V=D)) :- !.
gen_eqs([V|Vs], [D|Ds], ((V=D),Eqs)) :-
gen_eqs(Vs,Ds,Eqs).
add_alldiffs([],Eqs,Eqs).
add_alldiffs(AllDiffs,Eqs,(Eqs/alldiff(AllDiffs))).
clpbn_bind_vals([],_,_) :- !.
% simple case, we want a distribution on a single variable.
%bind_vals([V],Ps) :- !,
% clpbn:get_atts(V, [dist(Vals,_,_)]),
% put_atts(V, posterior([V], Vals, Ps)).
% complex case, we want a joint distribution, do it on a leader.
% should split on cliques ?
clpbn_bind_vals(Vs,Ps,AllDiffs) :-
get_all_combs(Vs, Vals),
Vs = [V|_],
put_atts(V, posterior(Vs, Vals, Ps, AllDiffs)).
get_all_combs(Vs, Vals) :-
get_all_doms(Vs,Ds),
findall(L,ms(Ds,L),Vals).
get_all_doms([], []).
get_all_doms([V|Vs], [D|Ds]) :-
clpbn:get_atts(V, [dist(Id,_)]),
get_dist_domain(Id,D),
get_all_doms(Vs, Ds).
ms([], []).
ms([H|L], [El|Els]) :-
member(El,H),
ms(L, Els).