double LogPrior(hvector theta) {
std::vector<double> mu(theta.begin(), theta.begin() + pchi);
std::vector<double> logsigma(theta.begin() + pchi, theta.begin() + 2 * pchi);
std::vector<double> arctanh_corr(theta.begin() + 2 * pchi, theta.end());
double mean_prior = MeanPrior(mu);
double sigma_prior = SigmaPrior(logsigma);
double corr_prior = CorrPrior(arctanh_corr);
//std::cout << "Priors: " << mean_prior << ", " << sigma_prior << ", " << corr_prior << std::endl;
return MeanPrior(mu) + SigmaPrior(logsigma) + CorrPrior(arctanh_corr);
}
float loglik(float z[MAXV][MAXC], bool A[MAXV][MAXV],int V, int C, float beta, float Threshold)
{
static float loglik, field;
static int i,j,c;
loglik=0.0;
for (i=0;i<V;i++){
for (j=0;j<i+1;j++){ // check if can do this -- otherwise use j<V
field=0.0;
for (c=0;c<C;c++){
field+=z[i][c]*z[j][c];
}
if (A[i][j])
{loglik+=logsigma(field,beta,Threshold);}
else
{loglik+=clogsigma(field,beta,Threshold);}
}
}
return loglik;
}
void updateZ(char OutputFile[40], float zm[MAXV][MAXC], float zma[MAXV][MAXC], float ma[MAXC], bool A[MAXV][MAXV], int Zloops, int C, int V, int Vtoupdate, float beta, float Threshold,bool DISP_ERRORS)
{int *permC, *permV, loopz, loopc, cluster, loopvertexj, loopvertexk, vertexi,vertexk, vertexj, cl, i, j,k, errors, tmpi, tmpj;
float meanfield0,meanfield1,logfn1,logfn0,loglik1,loglik0,tmp, copybeta, dellog;
float Mold[MAXV][MAXV], zc[MAXV], Mk[MAXV];
static bool AA[MAXV][MAXV];
FILE *fpLinkFile, *fpOutputFile, *fpInitialFile;
for (loopz=0;loopz<Zloops;loopz++)
{
for (vertexi=0;vertexi<V;vertexi++)
{for (vertexj=0;vertexj<V;vertexj++)
{
Mold[vertexi][vertexj]=0.0;
for (cl=0;cl<C;cl++){
Mold[vertexi][vertexj]+=zma[vertexi][cl]*zma[vertexj][cl];}
}
}
permC=randperm(C);
for (loopc=0;loopc<C;loopc++)
{cluster=permC[loopc];
for (vertexi=0;vertexi<V;vertexi++) {zc[vertexi]=zma[vertexi][cluster];}
permV=randperm(V);
for (loopvertexk=0;loopvertexk<Vtoupdate;loopvertexk++)
{vertexk=permV[loopvertexk];
for (vertexi=0;vertexi<V;vertexi++)
{Mk[vertexi]=Mold[vertexi][vertexk]-zc[vertexi]*zc[vertexk]+zma[vertexi][cluster]*zma[vertexk][cluster];}
logfn1=0.0;logfn0=0.0;
for (vertexj=0;vertexj<V;vertexj++)
{meanfield0=Mk[vertexj]-zma[vertexj][cluster]*zma[vertexk][cluster]-0.5;
meanfield1=zma[vertexj][cluster]+meanfield0;
if (A[vertexj][vertexk]==1)
{logfn1+=logsigma(meanfield1,beta,0.0);
logfn0+= logsigma(meanfield0,beta,0.0);
}
else
{logfn1+= logsigma(-meanfield1,beta,0.0);
logfn0+= logsigma(-meanfield0,beta,0.0);
}
}
dellog=2*(logfn0-logfn1);
zm[vertexk][cluster]=1.0/(1.0+exp(dellog));
zma[vertexk][cluster]=zm[vertexk][cluster]*ma[cluster];
}
for (vertexi=0;vertexi<V;vertexi++)
{for (vertexj=0;vertexj<V;vertexj++)
{Mold[vertexi][vertexj]+=-zc[vertexi]*zc[vertexj]+zma[vertexi][cluster]*zma[vertexj][cluster];
}
}
}
printf("\n C[%d] Zloop[%d] beta[%4.2f]",C,loopz,beta);
/* compute the errors */
if (DISP_ERRORS==1){
errors=0;
for (i=0;i<V;i++)
{
for (j=0;j<i+1;j++)
{tmp=0;
for (k=0;k<C;k++)
{tmp+=zma[i][k]*zma[j][k];}
if (tmp>Threshold){AA[i][j]=1;}
else {AA[i][j]=0;}
AA[j][i]=AA[i][j];
if (AA[i][j]!=A[i][j]){errors+=+1;}
}
}
printf(", errors(threshold<Z><Z'>)=%d",errors);}
/* compute the errors */
if (DISP_ERRORS==1){
errors=0;
for (i=0;i<V;i++)
{
for (j=0;j<i+1;j++)
{tmp=0;
for (k=0;k<C;k++)
{tmp+= (zm[i][k]>Threshold)*(zm[j][k]>Threshold);}
if (tmp>0){AA[i][j]=1;}
else {AA[i][j]=0;}
AA[j][i]=AA[i][j];
if (AA[i][j]!=A[i][j]){errors+=+1;}
}
}
printf(", errors(threshold<Z>threshold<Z'>)=%d",errors);}
/* write out the cluster matrix (in transposed form): only those clusters that are on:*/
fpOutputFile = fopen(OutputFile, "w");
if(fpOutputFile==NULL){
printf("Error: can't open OutputFile %s\n",OutputFile);}
for (cluster=0;cluster<C;cluster++){
if (ma[cluster]>SMALLVALUE){
for (i=0;i<V;i++){
fprintf(fpOutputFile, "%f ", zm[i][cluster]);}}
fprintf(fpOutputFile,"\n");}
fclose(fpOutputFile);
//printf(" written (in transposed form) on %s\n",OutputFile);
}
}
