Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/bnt/inference/static/@belprop_inf_engine/Old/belprop_inf_engine_nostr.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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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/bnt/inference/static/@belprop_inf_engine/Old/belprop_inf_engine_nostr.m Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,31 @@ +function engine = belprop_inf_engine(fg, max_iter, momentum, tol, maximize) + +if nargin < 2, max_iter = length(fg.G); end +if nargin < 3, momentum = 0; end +if nargin < 4, tol = 1e-3; end +if nargin < 5, maximize = 0; end + +engine.fgraph = fg; +engine.max_iter = max_iter; +engine.momentum = momentum; +engine.tol = tol; +engine.maximize = maximize; + +% store results computed by enter_evidence here +ndoms = length(fg.doms); +nvars = length(fg.vars); +engine.marginal_domains = cell(1, ndoms); + +% to compute the marginal on each variable, we need to know which domain to marginalize +% so we represent each domain as a bit vector, and compute its (pre-evidence) weight +engine.dom_weight = []; + +% engine.dom_bitv = sparse(ndoms, nvars); +% ns = fg.node_sizes; +% for i=1:ndoms +% engine.dom_bitv(i, fg.doms{i}) = 1; +% engine.dom_weight(i) = prod(ns(fg.doms{i})); +% end + + +engine = class(engine, 'belprop_inf_engine');