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Diffstat (limited to 'sourcecodes/bnt-master/BNT/general/sample_bnet.m')
| -rw-r--r-- | sourcecodes/bnt-master/BNT/general/sample_bnet.m | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/general/sample_bnet.m b/sourcecodes/bnt-master/BNT/general/sample_bnet.m new file mode 100644 index 00000000..3c219c24 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/general/sample_bnet.m @@ -0,0 +1,34 @@ +function sample = sample_bnet(bnet, varargin) +% SAMPLE_BNET Generate a random sample from a Bayes net. +% SAMPLE = SAMPLE_BNET(BNET, ...) +% +% sample{i} contains the value of the i'th node. +% i.e., the result is an Nx1 cell array. +% Nodes are sampled in the order given by bnet.order. +% +% Optional arguments: +% +% evidence - initial evidence; if evidence{i} is non-empty, node i won't be sampled. + +% set defauly params +n = length(bnet.dag); +sample = cell(n,1); + +% get optional params +args = varargin; +nargs = length(args); +for i=1:2:nargs + switch args{i}, + case 'evidence', sample = args{i+1}(:); + otherwise, error(['unrecognized argument ' args{i}]) + end +end + +for j=bnet.order(:)' + if isempty(sample{j}) + %ps = parents(bnet.dag, j); + ps = bnet.parents{j}; + e = bnet.equiv_class(j); + sample{j} = sample_node(bnet.CPD{e}, sample(ps)); + end +end |
