KNN Class Reference

#include <KNN.hpp>

Public Member Functions
	KNN ()
	KNN (const KNN &m)
KNN &	operator= (const KNN &m)
virtual	~KNN ()
void	setDistances (const VectorVectorDouble &distances)
void	setIndices (const VectorVectorInt &indices)
void	setNNeighbors (int n_neighbors)
void	setNSamples (int n_samples)
int	btree_query (t_btree *tree, const double **x, int n_samples, int n_features, int n_neigh)
int	btree_query_inPlace (t_btree *tree, const double **x, int n_samples, int n_features, int n_neigh, int rank, VectorInt &indices, VectorDouble &distances)
VectorInt	getIndices (int rank=0) const
int	getIndex (int rank=0, int ineigh=0) const
VectorDouble	getDistances (int rank=0) const
double	getDistance (int rank=0, int ineigh=0) const

Constructor & Destructor Documentation

KNN() [1/2]

KNN::KNN

(

)

KNN() [2/2]

KNN::KNN

(

const KNN &

m

)

~KNN()

KNN::~KNN ( )

virtual

Member Function Documentation

btree_query()

int KNN::btree_query	(	t_btree *	tree,
		const double **	x,
		int	n_samples,
		int	n_features,
		int	n_neigh
	)

btree_query_inPlace()

int KNN::btree_query_inPlace	(	t_btree *	tree,
		const double **	x,
		int	n_samples,
		int	n_features,
		int	n_neigh,
		int	rank,
		VectorInt &	indices,
		VectorDouble &	distances
	)

getDistance()

double KNN::getDistance	(	int	rank = 0,
		int	ineigh = 0
	)		const

getDistances()

VectorDouble KNN::getDistances

(

int

rank = 0

)

const

getIndex()

int KNN::getIndex	(	int	rank = 0,
		int	ineigh = 0
	)		const

getIndices()

VectorInt KNN::getIndices

(

int

rank = 0

)

const

operator=()

KNN & KNN::operator=

(

const KNN &

m

)

setDistances()

void KNN::setDistances ( const VectorVectorDouble &  distances )

inline

setIndices()

void KNN::setIndices ( const VectorVectorInt &  indices )

inline

setNNeighbors()

void KNN::setNNeighbors ( int  n_neighbors )

inline

setNSamples()

void KNN::setNSamples ( int  n_samples )

inline

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

• include/Tree/KNN.hpp
• src/Tree/KNN.cpp