wolffd@0: function [engine, loglik] = enter_evidence(engine, evidence, varargin)
wolffd@0: % ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn)
wolffd@0: % [engine, loglik] = enter_evidence(engine, evidence, ...)
wolffd@0: %
wolffd@0: % evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector)
wolffd@0: % 
wolffd@0: % The following optional arguments can be specified in the form of name/value pairs:
wolffd@0: % [default value in brackets]
wolffd@0: %
wolffd@0: % maximize - if 1, does max-product instead of sum-product [0]
wolffd@0: % filter   - if 1, does filtering (not supported), else smoothing [0]
wolffd@0: %
wolffd@0: % e.g., engine = enter_evidence(engine, ev, 'maximize', 1)
wolffd@0: 
wolffd@0: maximize = 0;
wolffd@0: filter = 0;
wolffd@0: 
wolffd@0: % parse optional params
wolffd@0: args = varargin;
wolffd@0: nargs = length(args);
wolffd@0: if nargs > 0
wolffd@0:   for i=1:2:nargs
wolffd@0:     switch args{i},
wolffd@0:      case 'maximize', maximize = args{i+1}; 
wolffd@0:      case 'filter',  filter = args{i+1}; 
wolffd@0:      otherwise,  
wolffd@0:       error(['invalid argument name ' args{i}]);       
wolffd@0:     end
wolffd@0:   end
wolffd@0: end
wolffd@0: 
wolffd@0: if filter
wolffd@0:   error('jtree_unrolled_dbn does not support filtering')
wolffd@0: end
wolffd@0: 
wolffd@0: if size(evidence,2) ~= engine.nslices
wolffd@0:   error(['engine was created assuming there are ' num2str(engine.nslices) ...
wolffd@0: 	 ' slices, but evidence has ' num2str(size(evidence,2))])
wolffd@0: end
wolffd@0: 
wolffd@0: [engine.unrolled_engine, loglik] = enter_evidence(engine.unrolled_engine, evidence, 'maximize', maximize);
wolffd@0: 
wolffd@0: