1 files changed, 44 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/inference/dynamic/@frontier_inf_engine/enter_evidence.m b/sourcecodes/bnt-master/BNT/inference/dynamic/@frontier_inf_engine/enter_evidence.m
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+++ b/sourcecodes/bnt-master/BNT/inference/dynamic/@frontier_inf_engine/enter_evidence.m
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+function [engine, loglik] = enter_evidence(engine, evidence, varargin)
+% ENTER_EVIDENCE Add the specified evidence to the network (frontier)
+% [engine, loglik] = enter_evidence(engine, evidence, ...)
+%
+% evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector)
+%
+% The following optional arguments can be specified in the form of name/value pairs:
+% [default value in brackets]
+%
+% maximize - if 1, does max-product (not yet supported), else sum-product [0]
+% filter -   if 1, do filtering, else smoothing [0]
+%
+% e.g., engine = enter_evidence(engine, ev, 'maximize', 1)
+
+maximize = 0;
+filter = 0;
+
+% parse optional params
+args = varargin;
+nargs = length(args);
+if nargs > 0
+  for i=1:2:nargs
+    switch args{i},
+     case 'maximize', maximize = args{i+1}; 
+     case 'filter', filter = args{i+1}; 
+     otherwise,  
+      error(['invalid argument name ' args{i}]);       
+    end
+  end
+end
+
+assert(~maximize);
+
+[ss T] = size(evidence);
+bnet = bnet_from_engine(engine);
+onodes = find(~isemptycell(evidence));
+cnodes = unroll_set(bnet.cnodes(:), ss, T);
+pot_type = determine_pot_type(bnet, onodes);
+
+CPDpot = convert_dbn_CPDs_to_pots(bnet, evidence, pot_type);
+
+[engine.fwdback, loglik, engine.fwd_frontier, engine.back_frontier] = ...
+    enter_soft_evidence(engine, CPDpot, onodes, pot_type, filter);
+