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yap-6.3/packages/CLPBN/clpbn/bp.yap
Vítor Santos Costa 44cb6abcb6 PFL support.
2012-04-03 15:01:35 +01:00

177 lines
4.3 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('clpbn/aggregates'),
[check_for_agg_vars/2]).
:- use_module(library(clpbn/horus)).
:- use_module(library(atts)).
:- use_module(library(lists)).
:- use_module(library(charsio)).
:- attribute id/1.
%:- set_horus_flag(inf_alg, ve).
:- set_horus_flag(inf_alg, bn_bp).
%:- set_horus_flag(inf_alg, fg_bp).
%: -set_horus_flag(inf_alg, cbp).
:- set_horus_flag(schedule, seq_fixed).
%:- set_horus_flag(schedule, seq_random).
%:- set_horus_flag(schedule, parallel).
%:- set_horus_flag(schedule, max_residual).
:- set_horus_flag(accuracy, 0.0001).
:- set_horus_flag(max_iter, 1000).
:- set_horus_flag(use_logarithms, false).
%:- set_horus_flag(use_logarithms, true).
:- set_horus_flag(order_factor_variables, false).
%:- set_horus_flag(order_factor_variables, true).
bp([[]],_,_) :- !.
bp([QueryVars], AllVars, Output) :-
init_bp_solver(_, AllVars, _, Network),
run_bp_solver([QueryVars], LPs, Network),
finalize_bp_solver(Network),
clpbn_bind_vals([QueryVars], LPs, Output).
init_bp_solver(_, AllVars0, _, bp(BayesNet, DistIds)) :-
check_for_agg_vars(AllVars0, AllVars),
writeln('clpbn_vars:'),
print_clpbn_vars(AllVars),
assign_ids(AllVars, 0),
get_vars_info(AllVars, VarsInfo, DistIds0),
sort(DistIds0, DistIds),
create_ground_network(VarsInfo, BayesNet).
%get_extra_vars_info(AllVars, ExtraVarsInfo),
%set_extra_vars_info(BayesNet, ExtraVarsInfo).
run_bp_solver(QueryVars, Solutions, bp(Network, DistIds)) :-
get_dists_parameters(DistIds, DistsParams),
set_bayes_net_params(Network, DistsParams),
flatten_1_element_sublists(QueryVars, QueryVars1),
vars_to_ids(QueryVars1, QueryVarsIds),
run_other_solvers(Network, QueryVarsIds, Solutions).
finalize_bp_solver(bp(Network, _)) :-
free_bayesian_network(Network).
assign_ids([], _).
assign_ids([V|Vs], Count) :-
put_atts(V, [id(Count)]),
Count1 is Count + 1,
assign_ids(Vs, Count1).
get_vars_info([], [], []).
get_vars_info(V.Vs,
var(VarId,DS,Ev,PIds,DistId).VarsInfo,
DistId.DistIds) :-
clpbn:get_atts(V, [dist(DistId, Parents)]), !,
get_atts(V, [id(VarId)]),
get_dist_domain_size(DistId, DS),
get_evidence(V, Ev),
vars_to_ids(Parents, PIds),
get_vars_info(Vs, VarsInfo, DistIds).
get_evidence(V, Ev) :-
clpbn:get_atts(V, [evidence(Ev)]), !.
get_evidence(_V, -1). % no evidence !!!
vars_to_ids([], []).
vars_to_ids([L|Vars], [LIds|Ids]) :-
is_list(L), !,
vars_to_ids(L, LIds),
vars_to_ids(Vars, Ids).
vars_to_ids([V|Vars], [VarId|Ids]) :-
get_atts(V, [id(VarId)]),
vars_to_ids(Vars, Ids).
get_extra_vars_info([], []).
get_extra_vars_info([V|Vs], [v(VarId, Label, Domain)|VarsInfo]) :-
get_atts(V, [id(VarId)]), !,
clpbn:get_atts(V, [key(Key),dist(DistId, _)]),
term_to_atom(Key, Label),
get_dist_domain(DistId, Domain0),
numbers_to_atoms(Domain0, Domain),
get_extra_vars_info(Vs, VarsInfo).
get_extra_vars_info([_|Vs], VarsInfo) :-
get_extra_vars_info(Vs, VarsInfo).
get_dists_parameters([],[]).
get_dists_parameters([Id|Ids], [dist(Id, Params)|DistsInfo]) :-
get_dist_params(Id, Params),
get_dists_parameters(Ids, DistsInfo).
numbers_to_atoms([], []).
numbers_to_atoms([Atom|L0], [Atom|L]) :-
atom(Atom), !,
numbers_to_atoms(L0, L).
numbers_to_atoms([Number|L0], [Atom|L]) :-
number_atom(Number, Atom),
numbers_to_atoms(L0, L).
flatten_1_element_sublists([],[]).
flatten_1_element_sublists([[H|[]]|T],[H|R]) :- !,
flatten_1_element_sublists(T,R).
flatten_1_element_sublists([H|T],[H|R]) :-
flatten_1_element_sublists(T,R).
print_clpbn_vars(Var.AllVars) :-
clpbn:get_atts(Var, [key(Key),dist(DistId,Parents)]),
parents_to_keys(Parents, ParentKeys),
writeln(Var:Key:ParentKeys:DistId),
print_clpbn_vars(AllVars).
print_clpbn_vars([]).
parents_to_keys([], []).
parents_to_keys(Var.Parents, Key.Keys) :-
clpbn:get_atts(Var, [key(Key)]),
parents_to_keys(Parents, Keys).