IGL_INLINE void igl::mat_min(
const Eigen::DenseBase<DerivedX> & X,
const int dim,
Eigen::PlainObjectBase<DerivedY> & Y,
Eigen::PlainObjectBase<DerivedI> & I)
{
assert(dim==1||dim==2);
// output size
int n = (dim==1?X.cols():X.rows());
// resize output
Y.resize(n);
I.resize(n);
// loop over dimension opposite of dim
for(int j = 0;j<n;j++)
{
typename DerivedX::Index PHONY,i;
typename DerivedX::Scalar m;
if(dim==1)
{
m = X.col(j).minCoeff(&i,&PHONY);
}else
{
m = X.row(j).minCoeff(&PHONY,&i);
}
Y(j) = m;
I(j) = i;
}
}
Label posterior(const Eigen::DenseBase<Derived>& observations,
bool normalize = true) const {
assert(observations.cols() == num_features());
Label result = prior_;
for (std::size_t i = 0; i < num_features(); ++i) {
result *= feature(i).restrict_head(observations.col(i));
if (normalize) {
result.normalize();
}
}
return result;
}
