CModel* CModel::Shotgun(gsl_rng * stream, FILE* logfile)
{
int nmodels = 0;
int ntotalmodels = 0;
CModel* p = this;
if(NULL==p->Next)
{
return(NULL);
}
while(NULL!=p->Next)
{
nmodels += p->Next->notStudied;
ntotalmodels++;
p = p->Next;
}
printf("Models in list [%d] not studied [%d]\n",ntotalmodels,nmodels);
fprintf(logfile,"\t%d\t%d\n",ntotalmodels,nmodels);
if(0==nmodels)
{
return(NULL);
}
double* w = new double[nmodels];
p = this;
nmodels = 0;
while(NULL!=p->Next)
{
if(p->Next->notStudied)
{
w[nmodels] = p->Next->laplace;
nmodels++;
}
p = p->Next;
}
double* cumw = NormalizeWeightsShotgun(w,nmodels);
int chosenmodel = WeightedSamplingShotgun(nmodels,cumw,stream);
delete[] cumw; cumw = NULL;
delete[] w; w = NULL;
p = this;
nmodels = 0;
while(NULL!=p->Next)
{
if(p->Next->notStudied)
{
if(nmodels==chosenmodel)
{
p->Next->notStudied = 0;
return(p->Next);
}
nmodels++;
}
p = p->Next;
}
return(NULL);
}
CRegression* CRegression::Shotgun(gsl_rng * stream,int& nPmodels,int& nPtotalmodels)
{
int nmodels = 0;
int ntotalmodels = 0;
CRegression* p = this;
if(NULL==p->Next)
{
return(NULL);
}
while(NULL!=p->Next)
{
if(p->Next->notStudied)
{
nmodels++;
}
ntotalmodels++;
p = p->Next;
}
nPmodels = nmodels;
nPtotalmodels = ntotalmodels;
if(0==nmodels)
{
return(NULL);
}
double* w = new double[nmodels];
p = this;
nmodels = 0;
while(NULL!=p->Next)
{
if(p->Next->notStudied)
{
w[nmodels] = p->Next->Weight;
nmodels++;
}
p = p->Next;
}
double* cumw = NormalizeWeightsShotgun(w,nmodels);
int chosenmodel = WeightedSamplingShotgun(nmodels,cumw,stream);
delete[] cumw; cumw = NULL;
delete[] w; w = NULL;
p = this;
nmodels = 0;
while(NULL!=p->Next)
{
if(p->Next->notStudied)
{
if(nmodels==chosenmodel)
{
p->Next->notStudied = 0;
return(p->Next);
}
nmodels++;
}
p = p->Next;
}
return(NULL);
}
