Daniel@0: function [engine, loglik] = enter_evidence(engine, evidence, varargin)
Daniel@0: % this is unchanged from bk_inf_engine.
Daniel@0: % ENTER_EVIDENCE Add the specified evidence to the network (bk)
Daniel@0: % [engine, loglik] = enter_evidence(engine, evidence, ...)
Daniel@0: %
Daniel@0: % evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector)
Daniel@0: %
Daniel@0: % The following optional arguments can be specified in the form of name/value pairs:
Daniel@0: % [default value in brackets]
Daniel@0: %
Daniel@0: % maximize - if 1, does max-product instead of sum-product [0]
Daniel@0: % filter -   if 1, do filtering, else smoothing [0]
Daniel@0: %
Daniel@0: % e.g., engine = enter_evidence(engine, ev, 'maximize', 1)
Daniel@0: 
Daniel@0: maximize = 0;
Daniel@0: filter = 0;
Daniel@0: 
Daniel@0: % parse optional params
Daniel@0: args = varargin;
Daniel@0: nargs = length(args);
Daniel@0: if nargs > 0
Daniel@0:   for i=1:2:nargs
Daniel@0:     switch args{i},
Daniel@0:      case 'maximize', maximize = args{i+1}; 
Daniel@0:      case 'filter', filter = args{i+1}; 
Daniel@0:      otherwise,  
Daniel@0:       error(['invalid argument name ' args{i}]);       
Daniel@0:     end
Daniel@0:   end
Daniel@0: end
Daniel@0: 
Daniel@0: [ss T] = size(evidence);
Daniel@0: engine.filter = filter;
Daniel@0: engine.maximize = maximize;
Daniel@0: engine.T = T;
Daniel@0: 
Daniel@0: if maximize
Daniel@0:   error('BK does not yet support max propagation')
Daniel@0:   % because it calls enter_soft_evidence, not enter_evidence
Daniel@0: end
Daniel@0: 
Daniel@0: observed_bitv = ~isemptycell(evidence);
Daniel@0: onodes = find(observed_bitv);
Daniel@0: bnet = bnet_from_engine(engine);
Daniel@0: pot_type = determine_pot_type(bnet, onodes); 
Daniel@0: CPDpot = convert_dbn_CPDs_to_pots(bnet, evidence, pot_type);
Daniel@0: [engine.clpot, loglik] = enter_soft_evidence(engine, CPDpot, observed_bitv, pot_type, filter);