include two extensions for CLP(BN): dumping in XBif format (XML) and
aggregate averages. git-svn-id: https://yap.svn.sf.net/svnroot/yap/trunk@1209 b08c6af1-5177-4d33-ba66-4b1c6b8b522a
This commit is contained in:
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@ -26,9 +26,11 @@ srcdir=@srcdir@
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CLPBN_TOP= $(srcdir)/clpbn.yap
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CLPBN_TOP= $(srcdir)/clpbn.yap
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CLPBN_PROGRAMS= \
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CLPBN_PROGRAMS= \
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$(srcdir)/clpbn/vel.yap \
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$(srcdir)/clpbn/aggregates.yap \
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$(srcdir)/clpbn/bnt.yap \
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$(srcdir)/clpbn/bnt.yap \
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$(srcdir)/clpbn/evidence.yap
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$(srcdir)/clpbn/evidence.yap \
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$(srcdir)/clpbn/vel.yap \
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$(srcdir)/clpbn/xbif.yap
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CLPBN_EXAMPLES=
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CLPBN_EXAMPLES=
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@ -270,35 +270,6 @@ bind_evidence_from_extra_var(Ev1,Var) :-
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put_atts(Var, [evidence(Ev1)]).
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put_atts(Var, [evidence(Ev1)]).
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:- yap_flag(toplevel_hook,clpbn:init_clpbn).
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hash_table_size(300000).
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init_clpbn :-
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reset_clpbn,
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fail.
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%init_clpbn :-
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% hash_table_size(HashTableSize),
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% array(clpbn,HashTableSize),
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% catch(static_array(keys,HashTableSize,term),_,true).
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random_tmp_number(I) :-
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get_value(clpbn_random_tmp_number,I),
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I1 is I+1,
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set_value(clpbn_random_tmp_number,I1).
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reset_clpbn :-
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current_predicate(_, clpbn_aux:P),
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retract(clpbn_aux:(P :- !)),
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fail.
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reset_clpbn :-
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set_value(clpbn_key, 0), fail.
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reset_clpbn :-
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set_value(clpbn_random_tmp_number, 0), fail.
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reset_clpbn.
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user:term_expansion((A :- {}), ( :- true )) :- !, % evidence
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user:term_expansion((A :- {}), ( :- true )) :- !, % evidence
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prolog_load_context(module, M),
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prolog_load_context(module, M),
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add_to_evidence(M:A).
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add_to_evidence(M:A).
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79
CLPBN/clpbn/aggregates.yap
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79
CLPBN/clpbn/aggregates.yap
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@ -0,0 +1,79 @@
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:- module(clpbn_aggregates, [cpt_average/4]).
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:- use_module(library(clpbn), [{}/1]).
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:- use_module(library(lists), [last/2]).
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cpt_average(Vars, Key, Els0, CPT) :-
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check_domain(Els0, Els),
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length(Els, SDomain),
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build_avg_table(Vars, Els, SDomain, Key, CPT).
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build_avg_table(Vars, Els, SDomain, _, p(Els, average, Vars)) :-
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int_power(Vars, SDomain, 1, TabSize),
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TabSize =< 16, !.
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build_avg_table(Vars, Els, _, Key, p(Els, normalised_average(L), [V1,V2])) :-
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length(Vars,L),
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LL1 is L//2,
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LL2 is L-LL1,
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list_split(LL1, Vars, L1, L2),
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Els = [Min|Els1],
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last(Els1,Max),
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build_intermediate_table(LL1, sum(Min,Max), L1, V1, Key, 0, I1),
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build_intermediate_table(LL2, sum(Min,Max), L2, V2, Key, I1, _).
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int_power([], _, TabSize, TabSize).
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int_power([_|L], X, I0, TabSize) :-
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I is I0*X,
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int_power(L, X, I, TabSize).
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build_intermediate_table(1,_,[V],V, _, I, I) :- !.
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build_intermediate_table(2, Op, [V1,V2], V, Key, I0, If) :- !,
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If is I0+1,
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generate_tmp_random(Op, 2, [V1,V2], V, Key, I0).
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build_intermediate_table(N, Op, L, V, Key, I0, If) :-
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LL1 is N//2,
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LL2 is N-LL1,
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list_split(LL1, L, L1, L2),
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I1 is I0+1,
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generate_tmp_random(Op, N, [V1,V2], V, Key, I0),
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build_intermediate_table(LL1, Op, L1, V1, Key, I1, I2),
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build_intermediate_table(LL2, Op, L2, V2, Key, I2, If).
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% averages are transformed into sums.
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generate_tmp_random(sum(Min,Max), N, [V1,V2], V, Key, I) :-
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Lower is Min*N,
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Upper is Max*N,
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generate_list(Lower, Upper, Nbs),
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%% write(sum(Nbs,[V1,V2])),nl, % debugging
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{ V = average_internal_node(I,Key) with p(Nbs,sum,[V1,V2]) }.
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generate_list(M, M, [M]) :- !.
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generate_list(I, M, [I|Nbs]) :-
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I1 is I+1,
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generate_list(I1, M, Nbs).
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list_split(0, L, [], L) :- !.
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list_split(I, [H|L], [H|L1], L2) :-
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I1 is I-1,
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list_split(I1, L, L1, L2).
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% allow quick description for a range.
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check_domain([I0|Is], [I0|Is]) :-
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integer(I0),
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check_integer_domain(Is,I0), !.
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check_domain(D, ND) :-
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normalise_domain(D, 0, ND).
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check_integer_domain([],_).
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check_integer_domain([I1|Is],I0) :-
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I0 < I1,
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check_integer_domain(Is,I1).
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normalise_domain([], _, []).
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normalise_domain([_|D], I0, [I0|ND]) :-
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I is I0+1,
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normalise_domain(D, I, ND).
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@ -22,6 +22,8 @@
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:- use_module(library(ordsets), [ord_union/3
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:- use_module(library(ordsets), [ord_union/3
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]).
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]).
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:- use_module(library('clpbn/xbif'), [cplbn2xbif/3]).
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:- use_module(library(lists),
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:- use_module(library(lists),
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[
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[
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append/3,
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append/3,
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@ -34,9 +36,10 @@ check_if_vel_done(Var) :-
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vel(LVs,Vs0,AllDiffs) :-
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vel(LVs,Vs0,AllDiffs) :-
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check_for_hidden_vars(Vs0, Vs0, Vs1),
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check_for_hidden_vars(Vs0, Vs0, Vs1),
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sort(Vs1,Vs),
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sort(Vs1,Vs),
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find_all_clpbn_vars(Vs, LV0, Tables0),
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find_all_clpbn_vars(Vs, LV0, LVi, Tables0),
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find_all_table_deps(Tables0, LV0),
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find_all_table_deps(Tables0, LV0),
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process(LV0, LVs, tab(Dist,_,_)),
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(xbif(XBifStream) -> clpbn2xbif(XBifStream,vel,Vs) ; true),
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process(LVi, LVs, tab(Dist,_,_)),
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Dist =.. [_|Ps0],
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Dist =.. [_|Ps0],
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normalise(Ps0,Ps),
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normalise(Ps0,Ps),
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bind_vals(LVs,Ps,AllDiffs).
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bind_vals(LVs,Ps,AllDiffs).
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@ -63,17 +66,25 @@ add_old_variables([V1|LV], AllVs0, AllVs, Vs, IVs) :-
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add_old_variables([_|LV], AllVs0, AllVs, Vs, IVs) :-
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add_old_variables([_|LV], AllVs0, AllVs, Vs, IVs) :-
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add_old_variables(LV, AllVs0, AllVs, Vs, IVs).
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add_old_variables(LV, AllVs0, AllVs, Vs, IVs).
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find_all_clpbn_vars([], [], []) :- !.
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find_all_clpbn_vars([], [], [], []) :- !.
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find_all_clpbn_vars([V|Vs], [var(V,I,Sz,Vals,Ev,_,_)|LV], [table(I,Table,Deps,Sizes)|Tables]) :-
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find_all_clpbn_vars([V|Vs], [Var|LV], ProcessedVars, [table(I,Table,Deps,Sizes)|Tables]) :-
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var_with_deps(V, Table, Deps, Sizes, Ev, Vals), !,
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var_with_deps(V, Table, Deps, Sizes, Ev, Vals), !,
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Var = var(V,I,Sz,Vals,Ev,_,_),
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get_dist_els(V,Sz),
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get_dist_els(V,Sz),
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find_all_clpbn_vars(Vs, LV, Tables).
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% variables with evidence should not be processed.
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(var(Ev) ->
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ProcessedVars = [Var|ProcessedVars0]
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;
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ProcessedVars = ProcessedVars0
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),
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find_all_clpbn_vars(Vs, LV, ProcessedVars0, Tables).
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var_with_deps(V, Table, Deps, Sizes, Ev, Vals) :-
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var_with_deps(V, Table, Deps, Sizes, Ev, Vals) :-
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clpbn:get_atts(V, [dist((D->Vals))]),
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clpbn:get_atts(V, [dist((D->Vals))]),
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( clpbn:get_atts(V, [evidence(Ev)]) -> true ; true),
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( clpbn:get_atts(V, [evidence(Ev)]) -> true ; true),
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from_dist_get(D,Vals,OTable,VDeps),
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from_dist_get(D,Vals,OTable,VDeps),
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reorder_table([V|VDeps],Sizes,OTable,Deps,Table).
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reorder_table([V|VDeps],Sizes0,OTable,Deps0,Table0),
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simplify_evidence(Deps0, Table0, Deps0, Sizes0, Table, Deps, Sizes).
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from_dist_get(average.Vs0,Vals,Lf,Vs) :- !,
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from_dist_get(average.Vs0,Vals,Lf,Vs) :- !,
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handle_average(Vs0,Vals,Lf,Vs).
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handle_average(Vs0,Vals,Lf,Vs).
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@ -225,14 +236,12 @@ convert_factor([F0|F0s], [F|Fs], I, OUT) :-
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NI is I mod F0,
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NI is I mod F0,
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NEXT is F*X,
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NEXT is F*X,
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convert_factor(F0s, Fs, NI, OUT1),
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convert_factor(F0s, Fs, NI, OUT1),
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OUT is OUT1+NEXT.
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OUT is OUT1+NEXT.
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find_all_table_deps(Tables0, LV) :-
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find_all_table_deps(Tables0, LV) :-
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find_dep_graph(Tables0, DepGraph0),
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find_dep_graph(Tables0, DepGraph0),
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sort(DepGraph0, DepGraph),
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sort(DepGraph0, DepGraph),
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add_table_deps_to_variables(LV, DepGraph).
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add_table_deps_to_variables(LV, DepGraph).
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find_dep_graph([], []).
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find_dep_graph([], []).
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find_dep_graph([table(I,Tab,Deps,Sizes)|Tables], DepGraph) :-
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find_dep_graph([table(I,Tab,Deps,Sizes)|Tables], DepGraph) :-
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@ -282,7 +291,7 @@ process(LV0, _, Out) :-
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find_best([], V, _, V, _, [], _).
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find_best([], V, _, V, _, [], _).
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find_best([var(V,I,Sz,Vals,Ev,Deps,K)|LV], _, Threshold, VF, NWorktables, LVF, Inputs) :-
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find_best([var(V,I,Sz,Vals,Ev,Deps,K)|LV], _, Threshold, VF, NWorktables, LVF, Inputs) :-
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( K < Threshold ; K = Threshold, nonvar(Ev)),
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K < Threshold,
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not_var_member(Inputs, V), !,
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not_var_member(Inputs, V), !,
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find_best(LV, V, K, VF, WorkTables,LV0, Inputs),
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find_best(LV, V, K, VF, WorkTables,LV0, Inputs),
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(V == VF ->
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(V == VF ->
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@ -299,6 +308,16 @@ multiply_tables([tab(Tab1,Deps1,Szs1), tab(Tab2,Deps2,Sz2)| Tables], Out) :-
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multiply_tables([tab(NTab,NDeps,NSz)| Tables], Out).
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multiply_tables([tab(NTab,NDeps,NSz)| Tables], Out).
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simplify_evidence([], Table, Deps, Sizes, Table, Deps, Sizes).
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simplify_evidence([V|VDeps], Table0, Deps0, Sizes0, Table, Deps, Sizes) :-
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clpbn:get_atts(V, [evidence(Ev)]),
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clpbn:get_atts(V, [dist((_->Out))]),
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generate_szs_with_evidence(Out,Ev,Evs),
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project(V,tab(Table0,Deps0,Sizes0),tab(NewTable,Deps1,Sizes1),Evs),
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simplify_evidence(VDeps, NewTable, Deps1, Sizes1, Table, Deps, Sizes).
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simplify_evidence([_|VDeps], Table0, Deps0, Sizes0, Table, Deps, Sizes) :-
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simplify_evidence(VDeps, Table0, Deps0, Sizes0, Table, Deps, Sizes).
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propagate_evidence(V, Evs) :-
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propagate_evidence(V, Evs) :-
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clpbn:get_atts(V, [evidence(Ev),dist((_->Out))]), !,
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clpbn:get_atts(V, [evidence(Ev),dist((_->Out))]), !,
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generate_szs_with_evidence(Out,Ev,Evs).
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generate_szs_with_evidence(Out,Ev,Evs).
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96
CLPBN/clpbn/xbif.yap
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96
CLPBN/clpbn/xbif.yap
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:- module(xbif, [clpbn2xbif/3]).
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clpbn2xbif(Stream, Name, Network) :-
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format(Stream, '<!-- DTD for the XMLBIF 0.3 format -->
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<!DOCTYPE BIF [
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<!ELEMENT BIF ( NETWORK )*>
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<!ATTLIST BIF VERSION CDATA #REQUIRED>
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<!ELEMENT NETWORK ( NAME, ( PROPERTY | VARIABLE | DEFINITION )* )>
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<!ELEMENT NAME (#PCDATA)>
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<!ELEMENT VARIABLE ( NAME, ( OUTCOME | PROPERTY )* ) >
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<!ATTLIST VARIABLE TYPE (nature|decision|utility) "nature">
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<!ELEMENT OUTCOME (#PCDATA)>
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<!ELEMENT DEFINITION ( FOR | GIVEN | TABLE | PROPERTY )* >
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<!ELEMENT FOR (#PCDATA)>
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<!ELEMENT GIVEN (#PCDATA)>
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<!ELEMENT TABLE (#PCDATA)>
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<!ELEMENT PROPERTY (#PCDATA)>
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]>
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<BIF VERSION="0.3">
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<NETWORK>
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<NAME>~w</NAME>]>
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<!-- Variables -->',[Name]),
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output_vars(Stream, Network),
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output_dists(Stream, Network),
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format(Stream, '</NETWORK>
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</BIF>
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',[]).
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output_vars(_, []).
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output_vars(Stream, [V|Vs]) :-
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output_var(Stream, V),
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output_vars(Stream, Vs).
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output_var(Stream, V) :-
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clpbn:get_atts(V,[key(Key),dist(DInfo)]),
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extract_domain(DInfo,Domain),
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format(Stream, '<VARIABLE TYPE="nature">
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<NAME>~w</NAME>~n',[Key]),
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output_domain(Stream, Domain),
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format(Stream, '</VARIABLE>~n~n',[]).
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extract_domain(tab(D,_),D).
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extract_domain(tab(D,_,_),D).
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extract_domain((_->D),D).
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output_domain(_, []).
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output_domain(Stream, [El|Domain]) :-
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format(Stream, ' <OUTCOME>~q</OUTCOME>~n',[El]),
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output_domain(Stream, Domain).
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output_dists(_, []).
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output_dists(Stream, [V|Network]) :-
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output_dist(Stream, V),
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output_dists(Stream, Network).
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output_dist(Stream, V) :-
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clpbn:get_atts(V,[key(Key),dist((Info))]),
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format(Stream, '<DEFINITION>
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<FOR>~w</FOR>~n',[Key]),
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output_parents(Stream,Info),
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extract_cpt(Info,CPT),
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output_cpt(Stream,CPT),
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format(Stream, '</DEFINITION>~n~n',[]).
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output_parents(_,tab(_,_)).
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output_parents(Stream,tab(_,_,Ps)) :-
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do_output_parents(Stream,Ps).
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output_parents(Stream,([_|_].Ps->_)) :- !,
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do_output_parents(Stream,Ps).
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output_parents(_,(_->_)).
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||||||
|
do_output_parents(_,[]).
|
||||||
|
do_output_parents(Stream,[P1|Ps]) :-
|
||||||
|
clpbn:get_atts(P1,[key(Key)]),
|
||||||
|
format(Stream, '<GIVEN>~w</GIVEN>~n',[Key]),
|
||||||
|
do_output_parents(Stream,Ps).
|
||||||
|
|
||||||
|
extract_cpt(tab(_,CPT),CPT).
|
||||||
|
extract_cpt(tab(_,CPT,_),CPT).
|
||||||
|
extract_cpt(([C1|Cs]._->_),[C1|Cs]) :- !.
|
||||||
|
extract_cpt((CPT->_),CPT).
|
||||||
|
|
||||||
|
output_cpt(Stream,CPT) :-
|
||||||
|
format(Stream, ' <TABLE> ', []),
|
||||||
|
output_els(Stream, CPT),
|
||||||
|
format(Stream, '</TABLE>~n', []).
|
||||||
|
|
||||||
|
output_els(_, []).
|
||||||
|
output_els(Stream, [El|Els]) :-
|
||||||
|
format(Stream,'~f ',[El]),
|
||||||
|
output_els(Stream, Els).
|
||||||
|
|
Reference in New Issue
Block a user