clean old useless comments
This commit is contained in:
parent
487a76c863
commit
012d81f7e0
1 changed files with 0 additions and 16 deletions
|
|
@ -175,7 +175,6 @@ public:
|
|||
assert(s_size > 0);
|
||||
|
||||
// Copy the population to an ublas matrix
|
||||
//ublas::matrix< AtomType > sample( p_size, s_size );
|
||||
Matrix sample( p_size, s_size );
|
||||
|
||||
for (unsigned int i = 0; i < p_size; ++i) {
|
||||
|
|
@ -184,11 +183,8 @@ public:
|
|||
}
|
||||
}
|
||||
|
||||
// _varcovar.resize(s_size);
|
||||
|
||||
// variance-covariance matrix are symmetric, thus a triangular storage is sufficient
|
||||
// variance-covariance matrix computation : transpose(A) * A
|
||||
//ublas::symmetric_matrix< AtomType, ublas::lower > var = ublas::prod( ublas::trans( sample ), sample );
|
||||
Matrix var = sample.transpose() * sample;
|
||||
|
||||
// Be sure that the symmetric matrix got the good size
|
||||
|
|
@ -197,35 +193,23 @@ public:
|
|||
|
||||
_varcovar = var / p_size;
|
||||
|
||||
// assert(var.innerSize() == _varcovar.innerSize());
|
||||
// assert(var.outerSize() == _varcovar.outerSize());
|
||||
|
||||
|
||||
// _mean.resize(s_size); // FIXME: check if it is really used because of the assignation below
|
||||
|
||||
// unit vector
|
||||
// ublas::scalar_vector< AtomType > u( p_size, 1 );
|
||||
Vector u( p_size);
|
||||
u = Vector::Constant(p_size, 1);
|
||||
|
||||
// sum over columns
|
||||
// _mean = ublas::prod( ublas::trans( sample ), u );
|
||||
_mean = sample.transpose() * u;
|
||||
|
||||
// division by n
|
||||
_mean /= p_size;
|
||||
}
|
||||
|
||||
// const ublas::symmetric_matrix< AtomType, ublas::lower >& get_varcovar() const {return _varcovar;}
|
||||
const Matrix& get_varcovar() const {return _varcovar;}
|
||||
|
||||
// const ublas::vector< AtomType >& get_mean() const {return _mean;}
|
||||
const Vector& get_mean() const {return _mean;}
|
||||
|
||||
private:
|
||||
// ublas::symmetric_matrix< AtomType, ublas::lower > _varcovar;
|
||||
Matrix _varcovar;
|
||||
// ublas::vector< AtomType > _mean;
|
||||
Vector _mean;
|
||||
};
|
||||
|
||||
|
|
|
|||
Reference in a new issue