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view toolboxes/FullBNT-1.0.7/bnt/inference/static/@belprop_fg_inf_engine/loopy_converged.m @ 0:e9a9cd732c1e tip

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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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function niter = loopy_converged(engine)
% LOOPY_CONVERGED Did loopy belief propagation converge? 0 means no, eles we return the num. iterations.
% function niter = loopy_converged(engine)
%
% We use a simple heuristic: we say convergence occurred if the number of iterations
% used was less than the maximum allowed.

if engine.niter == engine.max_iter
  niter = 0;
else
  niter = engine.niter;
end