Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/inference/dynamic/@ff_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 (ff) % [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 (not yet supported), else sum-product [0] % filter - if 1, do filtering, 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 assert(~maximize); [ss T] = size(evidence); observed = ~isemptycell(evidence); bnet = bnet_from_engine(engine); %pot_type = determine_pot_type(find(observed(:,1)), bnet.cnodes_slice, bnet.intra); pot_type = determine_pot_type(bnet, observed); % we assume we can use the same pot_type in all slices CPDpot = convert_dbn_CPDs_to_pots(bnet, evidence, pot_type); % Now convert CPDs on observed nodes to be potentials just on their parents assert(pot_type == 'd'); onodes = bnet.observed(:); ns = bnet.node_sizes_slice; ns(onodes) = 1; for t=1:T for i=onodes p = parents(bnet.dag, i); %CPDpot{i,t} = set_domain_pot(CPDpot{i,t}, p); % leaves size too long temp = pot_to_marginal(CPDpot{i,t}); CPDpot{i,t} = dpot(p, ns(p), temp.T); % assumes pot_type = d end end [engine.marginals, engine.fwd, engine.back, loglik] = enter_soft_evidence(engine, CPDpot, observed, pot_type, filter); engine.CPDpot = CPDpot; engine.filter = filter;