Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/inference/dynamic/@stable_ho_inf_engine/enter_evidence.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function [engine, loglik] = enter_evidence(engine, evidence, varargin) % ENTER_EVIDENCE Add the specified evidence to the network (jtree_unrolled_dbn) % [engine, loglik] = enter_evidence(engine, evidence, ...) % % evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector) % % The following optional arguments can be specified in the form of name/value pairs: % [default value in brackets] % % maximize - if 1, does max-product instead of sum-product [0] % filter - if 1, does filtering (not supported), else smoothing [0] % % e.g., engine = enter_evidence(engine, ev, 'maximize', 1) maximize = 0; filter = 0; % parse optional params args = varargin; nargs = length(args); if nargs > 0 for i=1:2:nargs switch args{i}, case 'maximize', maximize = args{i+1}; case 'filter', filter = args{i+1}; otherwise, error(['invalid argument name ' args{i}]); end end end if filter error('jtree_unrolled_dbn does not support filtering') end if size(evidence,2) ~= engine.nslices error(['engine was created assuming there are ' num2str(engine.nslices) ... ' slices, but evidence has ' num2str(size(evidence,2))]) end [engine.unrolled_engine, loglik] = enter_evidence(engine.unrolled_engine, evidence, 'maximize', maximize);