Point_d< NT > Class Template Reference

Inheritance diagram for Point_d< NT >:

List of all members.

Public Member Functions
	Point_d (int d=0)
	Point_d (int d, const vector< NT > &c, const set< unsigned int > *missing=NULL)
	Point_d (const Point_d &other)
unsigned int	getNumDimensions () const
NT	operator[] (int i) const
bool	isDimMissing (unsigned int i) const
unsigned int	getNumMissingDimensions () const
void	standardise ()
void	standardise (MyNT m, MyNT s)
void	print (ostream &ostr) const
virtual void	randomise ()
NT &	operator[] (int i)
Protected Member Functions
void	addMissingDim (unsigned int i)
void	deleteMissingDim (unsigned int i)
Protected Attributes
unsigned int	dimension
set< unsigned int >	missingDims
vector< NT >	coords
Friends
ostream &	operator<< (ostream &ostr, const Point_d &pt)
istream &	operator>> (istream &istr, Point_d &pt)

template<class NT>
class Point_d< NT >

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Member Function Documentation

template<class NT >

unsigned int Point_d< NT >::getNumMissingDimensions

(

)

const [inline]

Return the number of dimensions with missing values.

template<class NT >

virtual void Point_d< NT >::randomise

(

)

[inline, virtual]

Constructs a random permutation of the coordinates of the point and stores the new permutation in place. The random permutation is uniformly chosen from all possible permutations. STL's random_shuffle() function does all the hard word.

template<class NT >

void Point_d< NT >::standardise

(

)

[inline]

Standardise the point.

Linearly transform the point's coordinates to have mean 0 and standard deviation 1.

template<class NT >

void Point_d< NT >::standardise	(	MyNT	m,
		MyNT	s
	)		[inline]

Standardise the point to have the given mean and standard deviation.

Linearly transform the point's coordinates to have mean m and standard deviation s.

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The documentation for this class was generated from the following file:

• /home/poirel/src/c++/biorithm/libexpression/point.h