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