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1 function [engine, loglik] = enter_evidence(engine, evidence, varargin)
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2 % ENTER_EVIDENCE Add the specified evidence to the network (bk)
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3 % [engine, loglik] = enter_evidence(engine, evidence, ...)
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4 %
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5 % evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector)
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6 %
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7 % The following optional arguments can be specified in the form of name/value pairs:
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8 % [default value in brackets]
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9 %
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10 % maximize - if 1, does max-product instead of sum-product [0]
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11 % filter - if 1, do filtering, else smoothing [0]
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12 %
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13 % e.g., engine = enter_evidence(engine, ev, 'maximize', 1)
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14
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15 maximize = 0;
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16 filter = 0;
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17
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18 % parse optional params
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19 args = varargin;
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20 nargs = length(args);
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21 if nargs > 0
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22 for i=1:2:nargs
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23 switch args{i},
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24 case 'maximize', maximize = args{i+1};
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25 case 'filter', filter = args{i+1};
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26 otherwise,
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27 error(['invalid argument name ' args{i}]);
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28 end
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29 end
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30 end
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31
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32 [ss T] = size(evidence);
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33 engine.filter = filter;
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34 engine.maximize = maximize;
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35 engine.T = T;
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36
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37 if maximize
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38 error('BK does not yet support max propagation')
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39 % because it calls enter_soft_evidence, not enter_evidence
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40 end
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41
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42 observed_bitv = ~isemptycell(evidence);
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43 onodes = find(observed_bitv);
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44 bnet = bnet_from_engine(engine);
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45 pot_type = determine_pot_type(bnet, onodes);
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46 CPDpot = convert_dbn_CPDs_to_pots(bnet, evidence, pot_type);
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47 [engine.clpot, loglik] = enter_soft_evidence(engine, CPDpot, observed_bitv, pot_type, filter);
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48
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