improve learning in CLP(BN)
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CLPBN/learning/learn_utils.yap
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35
CLPBN/learning/learn_utils.yap
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%
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% Utilities for learning
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%
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:- module(bnt_learn_utils, [run_all/1,
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clpbn_vars/2]).
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run_all([]).
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run_all([G|Gs]) :-
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call(user:G),
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run_all(Gs).
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clpbn_vars(Vs,BVars) :-
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get_clpbn_vars(Vs,CVs),
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keysort(CVs,KVs),
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merge_vars(KVs,BVars).
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get_clpbn_vars([],[]).
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get_clpbn_vars([V|GVars],[K-V|CLPBNGVars]) :-
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clpbn:get_atts(V, [key(K)]), !,
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get_clpbn_vars(GVars,CLPBNGVars).
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get_clpbn_vars([_|GVars],CLPBNGVars) :-
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get_clpbn_vars(GVars,CLPBNGVars).
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merge_vars([],[]).
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merge_vars([K-V|KVs],[V|BVars]) :-
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get_var_has_same_key(KVs,K,V,KVs0),
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merge_vars(KVs0,BVars).
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get_var_has_same_key([K-V|KVs],K,V,KVs0) :- !,
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get_var_has_same_key(KVs,K,V,KVs0).
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get_var_has_same_key(KVs,_,_,KVs).
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CLPBN/learning/mle.yap
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CLPBN/learning/mle.yap
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%
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% This assumes we have a single big example.
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%
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:- use_module(library('clpbn_learning/utils'),
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[run_all/1,
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clpbn_vars/2]).
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:- module(bnt_mle, [learn_parameters/2]).
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%
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% full evidence learning
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%
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learn_parameters(Items, Tables, Extras) :-
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run_all(Items),
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attributes:all_attvars(AVars),
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% sort and incorporte evidence
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clpbn_vars(AVars, AllVars),
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mk_sample(AllVars, Sample),
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compute_tables(Extras, Sample, Tables).
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mk_sample(AllVars, NVars, LL) :-
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add2sample(AllVars, Sample),
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msort(Sample, AddL),
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compute_params(AddL, Parms).
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add2sample([], []).
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add2sample([V|Vs],[val(Id,[Ev|EParents])|Vals]) :-
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clpbn:get_atts(V, [evidence(Ev),dist(Id,Parents)]),
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get_eparents(Parents, EParents),
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add2sample(Vs, Vals).
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get_eparents([P|Parents], [E|EParents]) :-
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clpbn:get_atts(V, [evidence(Ev)]),
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get_eparents(Parents, EParents).
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get_eparents([], []).
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compute_tables([], Sample, Tables) :-
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mle(Sample, Tables).
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compute_tables([laplace|_], Sample, Tables) :-
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laplace(Sample, Tables).
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