ColumnVector find_top_n(ColumnVector W, int n, double cindex){
ColumnVector out(n);
int count=0;
double max=0.0;
out(0)=cindex;
for(int i=0;i<W.rows();i++){
if(W(i)!=0.0) count +=1;
if(W(i)<0.0) W(i)=(-1)*W(i);
}
out(1)=count;
int k=2;
while(k<n){
out(k)=0;
max=W(0);
for(int i=1;i<W.rows();i++){
if(W(i)>max){
max=W(i);
out(k)=i;
}
}
W(out(k))=0.0;
k +=1;
}
return out;
}
Uniform::Uniform (const ColumnVector& center, const ColumnVector& width)
: Pdf<ColumnVector> ( center.rows() )
, _samples(DimensionGet())
{
// check if inputs are consistent
assert (center.rows() == width.rows());
_Lower = center - width/2.0;
_Higher = center + width/2.0;
_Height = 1;
for (int i=1 ; i < width.rows()+1 ; i++ )
{
_Height = _Height / width(i);
}
}
void
Uniform::UniformSet (const ColumnVector& center,const ColumnVector& width)
{
assert(center.rows() == width.rows());
_Lower = center - width/2.0;
_Higher = center + width/2.0;
_Height = 1;
for (int i=1 ; i < width.rows()+1 ; i++ )
{
_Height = _Height / width(i);
}
if (this->DimensionGet() == 0) this->DimensionSet(center.rows());
assert(this->DimensionGet() == center.rows());
}
Probability Uniform::ProbabilityGet(const ColumnVector& input) const
{
// test if input is located in area of Uniform distribution
for (int i=1; i<input.rows()+1; i++)
{
if ( ( input(i)>_Higher(i) ) || ( input(i) < _Lower(i) ) ) return 0;
}
return _Height;
}
double pall_dot(RowVector feature, ColumnVector beta){
double sum=0.0; int nf=beta.rows();
omp_set_num_threads(36);
#pragma omp parallel
{
#pragma omp for reduction(+:sum)
for(int i=0;i<nf;i++)
sum +=feature[i]*beta[i];
}
return sum;
}
