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yap-6.3/packages/CLPBN/clpbn/bp.yap
2011-07-04 22:36:34 +01:00

158 lines
3.9 KiB
Prolog

/************************************************
Belief Propagation in CLP(BN)
**************************************************/
:- module(clpbn_bp,
[bp/3,
check_if_bp_done/1,
init_bp_solver/4,
run_bp_solver/3,
finalize_bp_solver/1
]).
:- use_module(library('clpbn/dists'),
[dist/4,
get_dist_domain/2,
get_dist_domain_size/2,
get_dist_params/2
]).
:- use_module(library('clpbn/display'),
[clpbn_bind_vals/3]).
:- use_module(library(atts)).
:- use_module(library(charsio)).
:- load_foreign_files(['horus'], [], init_predicates).
:- attribute id/1.
:- dynamic num_bayes_nets/1.
check_if_bp_done(_Var).
num_bayes_nets(0).
bp([[]],_,_) :- !.
bp([QueryVars], AllVars, Output) :-
init_bp_solver(_, AllVars, _, BayesNet),
run_bp_solver([QueryVars], LPs, BayesNet),
finalize_bp_solver(BayesNet),
clpbn_bind_vals([QueryVars], LPs, Output).
init_bp_solver(_, AllVars, _, (BayesNet, DistIds)) :-
%inc_num_bayes_nets,
%(showprofres(50) -> true ; true),
process_ids(AllVars, 0, DistIds0),
get_vars_info(AllVars, VarsInfo),
sort(DistIds0, DistIds),
%(num_bayes_nets(0) -> writeln(vars:VarsInfo) ; true),
%(num_bayes_nets(0) -> writeln(dists:DistsInfo) ; true),
create_network(VarsInfo, BayesNet),
get_extra_vars_info(AllVars, ExtraVarsInfo).
%set_extra_vars_info(BayesNet, ExtraVarsInfo).
process_ids([], _, []).
process_ids([V|Vs], VarId0, [DistId|DistIds]) :-
clpbn:get_atts(V, [dist(DistId, _)]), !,
put_atts(V, [id(VarId0)]),
VarId is VarId0 + 1,
process_ids(Vs, VarId, DistIds).
process_ids([_|Vs], VarId, DistIds) :-
process_ids(Vs, VarId, DistIds).
get_vars_info([], []).
get_vars_info([V|Vs], [var(VarId, DSize, Ev, ParentIds, DistId)|VarsInfo]) :-
clpbn:get_atts(V, [dist(DistId, Parents)]), !,
get_atts(V, [id(VarId)]),
get_dist_domain_size(DistId, DSize),
get_evidence(V, Ev),
vars2ids(Parents, ParentIds),
get_vars_info(Vs, VarsInfo).
get_vars_info([_|Vs], VarsInfo) :-
get_vars_info(Vs, VarsInfo).
vars2ids([], []).
vars2ids([V|QueryVars], [VarId|Ids]) :-
get_atts(V, [id(VarId)]),
vars2ids(QueryVars, Ids).
get_evidence(V, Ev) :-
clpbn:get_atts(V, [evidence(Ev)]), !.
get_evidence(_V, -1). % no evidence !!!
get_extra_vars_info([], []).
get_extra_vars_info([V|Vs], [v(VarId, Label, Domain)|VarsInfo]) :-
get_atts(V, [id(VarId)]), !,
writeln(k:V),
clpbn:get_atts(V, [key(Key),dist(DistId, _)]),
writeln(j:Key),
term_to_atom(Key, Label),
writeln(i:Label),
get_dist_domain(DistId, Domain0),
writeln(a:Domain0),
numbers2atoms(Domain0, Domain),
writeln(b:Domain),
get_extra_vars_info(Vs, VarsInfo).
get_extra_vars_info([_|Vs], VarsInfo) :-
get_extra_vars_info(Vs, VarsInfo).
numbers2atoms([], []).
numbers2atoms([Atom|L0], [Atom|L]) :-
atom(Atom), !,
numbers2atoms(L0, L).
numbers2atoms([Number|L0], [Atom|L]) :-
number_atom(Number, Atom),
numbers2atoms(L0, L).
run_bp_solver(QVsL0, LPs, (BayesNet, DistIds)) :-
get_dists_parameters(DistIds, DistsParams),
set_parameters(BayesNet, DistsParams),
process_query_list(QVsL0, QVsL),
%writeln(' qvs':QVsL),
%(num_bayes_nets(1506) -> writeln(qvs:QVsL) ; true),
run_solver(BayesNet, QVsL, LPs).
process_query_list([], []).
process_query_list([[V]|QueryVars], [VarId|Ids]) :- !,
get_atts(V, [id(VarId)]),
process_query_list(QueryVars, Ids).
process_query_list([Vs|QueryVars], [VarIds|Ids]) :-
vars2ids(Vs, VarIds),
process_query_list(QueryVars, Ids).
get_dists_parameters([],[]).
get_dists_parameters([Id|Ids], [dist(Id, Params)|DistsInfo]) :-
get_dist_params(Id, Params),
get_dists_parameters(Ids, DistsInfo).
finalize_bp_solver((BayesNet, _)) :-
delete_bayes_net(BayesNet).
inc_num_bayes_nets :-
retract(num_bayes_nets(Count0)),
Count is Count0 + 1,
assert(num_bayes_nets(Count)).