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yap-6.3/packages/CLPBN/clpbn/fove.yap

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2012-01-10 17:01:06 +00:00
:- module(clpbn_fove,
[fove/3,
set_solver_parameter/2,
init_fove_solver/4,
run_fove_solver/3,
finalize_fove_solver/1
]).
:- use_module(library(pfl), [
factor/5,
skolem/2]).
%
% support fove method
%
fove([[]],_,_) :- !.
fove([QueryVars], AllVars, Output) :-
init_fove_solver(_, AllVars, _, GraphicalNet),
run_fove_solver([QueryVars], LPs, GraphicalNet),
finalize_fove_solver(GraphicalNet),
clpbn_bind_vals([QueryVars], LPs, Output).
%
% set up network, add evidence, and query all marginals at the same time?
%
init_fove_solver(_, AllAttVars, _, fove(ParNet, EvidenceVariables)) :-
all_factors(Factors),
all_domains(Domains),
evidence_variables(AllAttVars, EvidenceVariables),
writeln(ev:EvidenceVariables),
% c-code, just receives the par factors
init_fove(Factors, Domains, ParNet).
evidence_variables([], []).
evidence_variables(V.AllAttVars, [K:E|EvidenceVariables]) :-
clpbn:get_atts(V,[key(K),evidence(E)]), !,
evidence_variables(AllAttVars, EvidenceVariables).
evidence_variables(_V.AllAttVars, EvidenceVariables) :-
evidence_variables(AllAttVars, EvidenceVariables).
all_domains(Domains) :-
findall(X:Y, skolem(X,Y), Domains).
:- table all_factors/1.
%
% enumerate all par-factors and enumerate their domain as tuples.
%
% output is list of pf(
% ID: an unique number
% Ks: a list of keys, also known as the pf formula [a(X),b(Y),c(X,Y)]
% Vs: the list of free variables [X,Y]
% Phi: the table following usual CLP(BN) convention
% Tuples: tuples with all ground bindings for variables in Vs, of the form [fv(x,y)]
%
all_factors(Factors) :-
findall(F, is_factor(F), Factors).
is_factor(pf(Id, Ks, Vs, Phi, Tuples)) :-
factor(Id, Ks, Vs, Table, Constraints),
Table \= avg,
gen_table(Table, Phi),
all_tuples(Constraints, Vs, Tuples).
gen_table(Table, Phi) :-
( is_list(Table)
->
Phi = Table
;
call(user:Table, Phi)
).
all_tuples(Constraints, Tuple, Tuples) :-
setof(Tuple, Constraints^run(Constraints), Tuples).
run([]).
run(Goal.Constraints) :-
user:Goal,
run(Constraints).
%
% ask probability of a single variable
%
run_fove_solver(QueryVars, LPs, fove(ParFactors, EvidenceVariables)) :-
fove(QueryVars, EvidenceVariables, ParFactors, LPs).