diff toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/cmp_inference.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
parents
children
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/cmp_inference.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,75 @@
+function [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize)
+% CMP_INFERENCE Compare several inference engines on a DBN
+% [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize)
+%
+% engine{i} is the i'th inference engine.
+% 'exact' specifies which engines do exact inference - 
+%   we check that these all give the same results.
+% 'T' is the length of the random sequence we generate.
+% If filter=1, we do filtering, else smoothing (default: smoothing)
+% If singletons=1, we compare marginal_nodes, else marginal_family (default: family)
+%
+% err(e,n,t) = sum_i | Pr_exact(X(n,t)=i) - Pr_e(X(n,t)=i) |
+%   where Pr_e = prob. according to engine e
+% time(e) = elapsed time for doing inference with engine e
+
+err = [];
+
+if nargin < 5, filter = 0; end
+if nargin < 6, singletons = 0; end
+if nargin < 7, maximize = 0; end
+
+check_ll = 1;
+
+assert(~maximize);
+
+E = length(engine);
+ref = exact(1); % reference
+
+ss = length(bnet.intra);
+ev = sample_dbn(bnet, 'length', T);
+evidence = cell(ss,T);
+onodes = bnet.observed;
+evidence(onodes,:) = ev(onodes, :);
+
+assert(~filter);
+for i=1:E
+  tic;
+  %[engine{i}, ll(i)] = enter_evidence(engine{i}, evidence, 'maximize', maximize);
+  [engine{i}, ll(i)] = enter_evidence(engine{i}, evidence);
+  time(i)=toc;
+  fprintf('engine %d took %6.4f seconds\n', i, time(i));
+end
+
+cmp = mysetdiff(exact, ref);
+if check_ll
+for i=cmp(:)'
+  if ~approxeq(ll(ref), ll(i))
+    error(['engine ' num2str(i) ' has wrong ll'])
+  end
+end
+end
+ll
+
+hnodes = mysetdiff(1:ss, onodes);
+m = cell(1,E);
+for t=1:T
+  for n=hnodes(:)'
+    for e=1:E
+      if singletons
+	m{e} = marginal_nodes(engine{e}, n, t);
+      else
+	m{e} = marginal_family(engine{e}, n, t);
+      end
+    end
+    for e=1:E
+      assert(isequal(m{e}.domain, m{ref}.domain));
+    end
+    for e=cmp(:)'
+      if ~approxeq(m{ref}.T(:), m{e}.T(:))
+	str= sprintf('engine %d is wrong; n=%d, t=%d', e, n, t);
+	error(str)
+      end
+    end
+  end
+end