diff toolboxes/FullBNT-1.0.7/bnt/CPDs/@softmax_CPD/convert_to_table.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/CPDs/@softmax_CPD/convert_to_table.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,52 @@
+function T = convert_to_table(CPD, domain, evidence)
+% CONVERT_TO_TABLE Convert a softmax CPD to a table, incorporating any evidence 
+% T = convert_to_table(CPD, domain, evidence)
+
+self       = domain(end);             
+ps         = domain(1:end-1);                            
+cnodes     = domain(CPD.cpndx);
+cps        = myintersect(ps, cnodes);
+dps        = domain(CPD.dpndx); 
+dps_as_cps = domain(CPD.dps_as_cps.ndx);
+all_dps    = union(dps,dps_as_cps);
+odom       = domain(~isemptycell(evidence(domain))); 
+if ~isempty(cps), assert(myismember(cps, odom)); end % all cts parents must be observed
+
+ns         = zeros(1, max(domain));
+ns(domain) = CPD.sizes;
+ens        = ns; % effective node sizes
+ens(odom)  = 1;
+
+% dpsize >= glimsz because the glm parameters are tied across the dps_as_cps parents
+dpsize       = prod(ens(all_dps)); % size of ALL self'discrete parents
+dpvals       = cat(1, evidence{myintersect(all_dps, odom)});
+cpvals       = cat(1, evidence{cps});
+if ~isempty(dps_as_cps),
+  separator          = CPD.dps_as_cps.separator;
+  dp_as_cpmap        = find_equiv_posns(dps_as_cps, all_dps);
+  dops_map           = find_equiv_posns(myintersect(all_dps, odom), all_dps);
+  puredp_map         = find_equiv_posns(dps, all_dps);
+  subs               = ind2subv(ens(all_dps), 1:prod(ens(all_dps)));
+  if ~isempty(dops_map), subs(:,dops_map) = subs(:,dops_map)+repmat(dpvals(:)',[size(subs,1) 1])-1; end
+end
+
+[w,b] = extract_params(CPD);
+T = zeros(dpsize, ns(self));                                       
+for i=1:dpsize,    
+  active_glm  = i;
+  dp_as_cpvals=zeros(1,sum(ns(dps_as_cps)));                                                                  
+  if ~isempty(dps_as_cps),                          
+    active_glm = max([1,subv2ind(ns(dps), subs(i,puredp_map))]);
+    % Extract the params compatible with the observations (if any) on the 'pure' discrete parents (if any)
+    where_one = separator + subs(i,dp_as_cpmap);
+    % and get in the dp_as_cp parents...
+    dp_as_cpvals(where_one)=1;                    
+  end                                               
+  T(i,:) = normalise(exp([dp_as_cpvals(:); cpvals(:)]'*w(:,:,active_glm) + b(:,active_glm)'));
+end
+if myismember(self, odom)
+  r = evidence{self};
+  T = T(:,r);
+end
+
+T = myreshape(T, ens(domain));