diff toolboxes/FullBNT-1.0.7/bnt/CPDs/@hhmmQ_CPD/Old/update_CPT.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/CPDs/@hhmmQ_CPD/Old/update_CPT.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,74 @@
+function CPD = update_CPT(CPD)
+% Compute the big CPT for an HHMM Q node (including F parents) given internal transprob and startprob
+% function CPD = update_CPT(CPD)
+
+Qsz = CPD.Qsz;
+Qpsz = CPD.Qpsz;
+
+if ~isempty(CPD.Fbelow_ndx)
+  if ~isempty(CPD.Fself_ndx) % general case
+    % Fb(t-1) Fself(t-1)  P(Q(t)=j| Q(t-1)=i, Qps(t)=k)
+    % ------------------------------------------------------
+    % 1        1         delta(i,j)
+    % 2        1         transprob(i,k,j)
+    % 1        2         impossible
+    % 2        2         startprob(k,j)
+    CPT = zeros(Qsz, 2, 2, Qpsz, Qsz);
+    I = repmat(eye(Qsz), [1 1 Qpsz]); % i,j,k
+    I = permute(I, [1 3 2]); % i,k,j
+    CPT(:, 1, 1, :, :) = I;
+    CPT(:, 2, 1, :, :) = CPD.transprob;
+    CPT(:, 1, 2, :, :) = I;
+    CPT(:, 2, 2, :, :) = repmat(reshape(CPD.startprob, [1 Qpsz Qsz]), [Qsz 1 1]); % replicate over i
+  else % no F from self, hence no startprob
+    % Fb(t-1) P(Q(t)=j| Q(t-1)=i, Qps(t)=k)
+    % ------------------------------------------------------
+    % 1       delta(i,j)
+    % 2       transprob(i,k,j)
+    
+    nps = length(CPD.dom_sz)-1; % num parents
+    CPT = 0*myones(CPD.dom_sz);
+    %CPT = zeros(Qsz, 2, Qpsz, Qsz); % assumes CPT(Q(t-1), F(t-1), Qps, Q(t))
+    % but a member of Qps may preceed Q(t-1) or F(t-1) in the ordering
+    
+    I = repmat(eye(Qsz), [1 1 Qpsz]); % i,j,k
+    I = permute(I, [1 3 2]); % i,k,j
+
+    % the following fails if there is a member of Qps with a lower
+    % number than F
+    %CPT(:, 1, :, :) = I;
+    %CPT(:, 2, :, :) = CPD.transprob;
+
+    ndx = mk_multi_index(nps+1, CPD.Fbelow_ndx, 1);
+    CPT(ndx{:}) = I;
+    ndx = mk_multi_index(nps+1, CPD.Fbelow_ndx, 2);
+    CPT(ndx{:}) = CPD.transprob;
+    keyboard
+  end
+else % no F signal from below
+  if ~isempty(CPD.Fself_ndx)
+    % Q(t-1), Fself(t-1), Qps, Q(t)
+    
+    % if condition start on previous concrete state (as in map learning),
+    % CPT(:, 1, :, :, :) = CPD.transprob(Q(t-1), Qps, Q(t))
+    % CPT(:, 2, :, :, :) = CPD.startprob(Q(t-1), Qps, Q(t))
+    
+    % Fself(t-1)  P(Q(t-1)=i, Qps(t)=k -> Q(t)=j)
+    % ------------------------------------------------------
+    % 1         transprob(i,k,j)
+    % 2         startprob(k,j)
+    CPT = zeros(Qsz, 2, Qpsz, Qsz);
+    I = repmat(eye(Qsz), [1 1 Qpsz]); % i,j,k
+    I = permute(I, [1 3 2]); % i,k,j
+    CPT(:, 1, :, :) = CPD.transprob;
+    if CPD.fullstartprob
+      CPT(:, 2, :, :) = CPD.startprob;
+    else
+      CPT(:, 2, :, :) = repmat(reshape(CPD.startprob, [1 Qpsz Qsz]), [Qsz 1 1]); % replicate over i
+    end
+    else % no F from self
+    error('An hhmmQ node without any F parents is just a tabular_CPD')
+  end
+end
+
+CPD = set_fields(CPD, 'CPT', CPT);