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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 (jtree_unrolled_dbn)
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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, does filtering (not supported), 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 if filter
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33 error('jtree_unrolled_dbn does not support filtering')
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34 end
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35
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36 if size(evidence,2) ~= engine.nslices
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37 error(['engine was created assuming there are ' num2str(engine.nslices) ...
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38 ' slices, but evidence has ' num2str(size(evidence,2))])
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39 end
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40
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41 [engine.unrolled_engine, loglik] = enter_evidence(engine.unrolled_engine, evidence, 'maximize', maximize);
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42
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43
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