[NewPop] = SampleFDA(NumbVar,model,Card,AuxPop,AuxFunVal,sampling_params)
SampleFDA: Samples a population of individuals from a factorized model
INPUTS
NumbVar: Number of variables
model: Markov network model containing the structure (model{1} = Cliques)
and the parameters (model{2} = Tables)
Card: Vector with the dimension of all the variables.
AuxPop: Auxiliary (selected) population (May be use for partial sampling or resampling)
AuxFunVal: Evaluation of the data set (required for some sampling algorithms, not for this one)
sampling_params{1}(1) = N: Number of generated individuals
OUTPUTS
NewPop: Sampled individuals
Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)0001 function [NewPop] = SampleFDA(NumbVar,model,Card,AuxPop,AuxFunVal,sampling_params) 0002 % [NewPop] = SampleFDA(NumbVar,model,Card,AuxPop,AuxFunVal,sampling_params) 0003 % SampleFDA: Samples a population of individuals from a factorized model 0004 % INPUTS 0005 % NumbVar: Number of variables 0006 % model: Markov network model containing the structure (model{1} = Cliques) 0007 % and the parameters (model{2} = Tables) 0008 % Card: Vector with the dimension of all the variables. 0009 % AuxPop: Auxiliary (selected) population (May be use for partial sampling or resampling) 0010 % AuxFunVal: Evaluation of the data set (required for some sampling algorithms, not for this one) 0011 % sampling_params{1}(1) = N: Number of generated individuals 0012 % OUTPUTS 0013 % NewPop: Sampled individuals 0014 % 0015 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es) 0016 0017 N = cell2num(sampling_params{1}(1)); 0018 0019 Cliques = model{1}; 0020 Tables = model{2}; 0021 NumberCliques = size(Cliques,1); 0022 0023 0024 NewPop=zeros(N,NumbVar); 0025 0026 % The new population is generated 0027 0028 for i=1:NumberCliques 0029 eval(['aux = Tables{',num2str(i),'};']); 0030 sizeCliqOther = Cliques(i,2); 0031 sizeCliqSolap = Cliques(i,1); 0032 0033 0034 if(sizeCliqSolap > 0) 0035 CliqSolap = Cliques(i,3:Cliques(i,1)+2); 0036 AccCardSolap = FindAccCard(sizeCliqSolap,Card(CliqSolap)); 0037 dimSolap = NumconvertCard(Card(CliqSolap)-1,sizeCliqSolap,AccCardSolap)+1; 0038 else 0039 CliqSolap = []; 0040 AccCardSolap = []; 0041 dimSolap = 1; 0042 end 0043 0044 CliqOther = Cliques(i,Cliques(i,1)+3:Cliques(i,1)+Cliques(i,2)+2); 0045 AccCardOther = FindAccCard(sizeCliqOther,Card(CliqOther)); 0046 dimOther = NumconvertCard(Card(CliqOther)-1,sizeCliqOther,AccCardOther)+1; 0047 0048 AllVars = [CliqSolap,CliqOther]; 0049 0050 if sizeCliqSolap==0 % If it is a root node 0051 index=sus(N,cumsum(aux)); % Values are chosen using SUS 0052 for j=1:N 0053 allvarvalues = IndexconvertCard(index(j)-1,sizeCliqOther,AccCardOther); 0054 NewPop(j,CliqOther) = allvarvalues; 0055 end 0056 else 0057 0058 auxNewPop=NewPop(:,CliqSolap); 0059 0060 % For each of the overlappings, non-overlapped variables are 0061 % assigned its values using SUS 0062 0063 for k=1:dimSolap 0064 solapval = IndexconvertCard(k-1,sizeCliqSolap,AccCardSolap); 0065 % which stores all the individuals for which the overlapping 0066 % has the same value k-1 0067 0068 0069 if sizeCliqSolap==1 0070 which=find( (auxNewPop==repmat(solapval,N,1)) == sizeCliqSolap); 0071 else 0072 which=find(sum((auxNewPop==repmat(solapval,N,1))') == sizeCliqSolap)'; 0073 end 0074 0075 % In index are stored the values that will be assigned to non-overlapped 0076 % variables whose overlapping is k 0077 0078 if size(which,1)>0 0079 % It might be normalize before generation 0080 %aux(k,:)=aux(k,:)/sum(aux(k,:)); 0081 index=sus(size(which,1),cumsum(aux(k,:))); 0082 for j=1:size(which,1) 0083 solapval = IndexconvertCard(index(j)-1,sizeCliqOther,AccCardOther); 0084 NewPop(which(j),CliqOther)=solapval; 0085 end 0086 end 0087 end % End del for de la variabla k 0088 end % End del Else 0089 end % End del for de la variable i 0090 0091 0092 0093 0094 % Last version 10/05/2005. Roberto Santana (rsantana@si.ehu.es)