#include <autotuned_index.h>

Inheritance diagram for rtflann::AutotunedIndex< Distance >:

Classes
struct	CostData
Public Types
typedef NNIndex< Distance >	BaseClass
typedef Distance::ResultType	DistanceType
typedef Distance::ElementType	ElementType
typedef AutotunedIndex< Distance >	IndexType
typedef bool	needs_kdtree_distance
Public Member Functions
void	addPoints (const Matrix< ElementType > &points, float rebuild_threshold=2)
	Incrementally add points to the index.
	AutotunedIndex (const Matrix< ElementType > &inputData, const IndexParams &params=AutotunedIndexParams(), Distance d=Distance())
	AutotunedIndex (const IndexParams &params=AutotunedIndexParams(), Distance d=Distance())
	AutotunedIndex (const AutotunedIndex &other)
void	buildIndex ()
void	buildIndex (const Matrix< ElementType > &dataset)
BaseClass *	clone () const
void	findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &searchParams) const
IndexParams	getParameters () const
FLANN_DEPRECATED SearchParams	getSearchParameters () const
FLANN_DEPRECATED float	getSpeedup () const
flann_algorithm_t	getType () const
int	knnSearch (const Matrix< ElementType > &queries, Matrix< size_t > &indices, Matrix< DistanceType > &dists, size_t knn, const SearchParams &params) const
	Perform k-nearest neighbor search.
int	knnSearch (const Matrix< ElementType > &queries, std::vector< std::vector< size_t > > &indices, std::vector< std::vector< DistanceType > > &dists, size_t knn, const SearchParams &params) const
	Perform k-nearest neighbor search.
void	loadIndex (FILE *stream)
AutotunedIndex &	operator= (AutotunedIndex other)
int	radiusSearch (const Matrix< ElementType > &queries, Matrix< size_t > &indices, Matrix< DistanceType > &dists, DistanceType radius, const SearchParams &params) const
int	radiusSearch (const Matrix< ElementType > &queries, std::vector< std::vector< size_t > > &indices, std::vector< std::vector< DistanceType > > &dists, DistanceType radius, const SearchParams &params) const
void	removePoint (size_t id)
void	saveIndex (FILE *stream)
template<typename Archive >
void	serialize (Archive &ar)
size_t	size () const
int	usedMemory () const
size_t	veclen () const
virtual	~AutotunedIndex ()
Protected Member Functions
void	buildIndexImpl ()
void	freeIndex ()
Private Member Functions
IndexParams	estimateBuildParams ()
float	estimateSearchParams (SearchParams &searchParams)
void	evaluate_kdtree (CostData &cost)
void	evaluate_kmeans (CostData &cost)
void	optimizeKDTree (std::vector< CostData > &costs)
void	optimizeKMeans (std::vector< CostData > &costs)
void	swap (AutotunedIndex &other)
Private Attributes
NNIndex< Distance > *	bestIndex_
IndexParams	bestParams_
SearchParams	bestSearchParams_
float	build_weight_
Matrix< ElementType >	dataset_
Matrix< size_t >	gt_matches_
float	memory_weight_
float	sample_fraction_
Matrix< ElementType >	sampledDataset_
float	speedup_
float	target_precision_
Matrix< ElementType >	testDataset_

Detailed Description

template<typename Distance>
class rtflann::AutotunedIndex< Distance >

Definition at line 73 of file autotuned_index.h.

Member Typedef Documentation

template<typename Distance >

typedef NNIndex<Distance> rtflann::AutotunedIndex< Distance >::BaseClass

Definition at line 79 of file autotuned_index.h.

template<typename Distance >

typedef Distance::ResultType rtflann::AutotunedIndex< Distance >::DistanceType

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 77 of file autotuned_index.h.

template<typename Distance >

typedef Distance::ElementType rtflann::AutotunedIndex< Distance >::ElementType

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 76 of file autotuned_index.h.

template<typename Distance >

typedef AutotunedIndex<Distance> rtflann::AutotunedIndex< Distance >::IndexType

Definition at line 81 of file autotuned_index.h.

template<typename Distance >

typedef bool rtflann::AutotunedIndex< Distance >::needs_kdtree_distance

Definition at line 83 of file autotuned_index.h.

Constructor & Destructor Documentation

template<typename Distance >

rtflann::AutotunedIndex< Distance >::AutotunedIndex	(	const Matrix< ElementType > &	inputData,
		const IndexParams &	params = `AutotunedIndexParams()`,
		Distance	d = `Distance()`
	)		`[inline]`

Definition at line 85 of file autotuned_index.h.

template<typename Distance >

rtflann::AutotunedIndex< Distance >::AutotunedIndex	(	const IndexParams &	params = `AutotunedIndexParams()`,
		Distance	d = `Distance()`
	)		`[inline]`

Definition at line 94 of file autotuned_index.h.

template<typename Distance >

rtflann::AutotunedIndex< Distance >::AutotunedIndex ( const AutotunedIndex< Distance > & other ) [inline]

Definition at line 103 of file autotuned_index.h.

template<typename Distance >

virtual rtflann::AutotunedIndex< Distance >::~AutotunedIndex ( ) [inline, virtual]

Definition at line 122 of file autotuned_index.h.

Member Function Documentation

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::addPoints	(	const Matrix< ElementType > &	points,
		float	rebuild_threshold = `2`
	)		`[inline, virtual]`

Incrementally add points to the index.

Parameters:

points	Matrix with points to be added
rebuild_threshold

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 164 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::buildIndex ( ) [inline, virtual]

Method responsible with building the index.

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 135 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::buildIndex ( const Matrix< ElementType > & dataset ) [inline, virtual]

Builds the index using the specified dataset

Parameters:

dataset the dataset to use

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 157 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::buildIndexImpl ( ) [inline, protected, virtual]

Implements rtflann::NNIndex< Distance >.

Definition at line 349 of file autotuned_index.h.

template<typename Distance >

BaseClass* rtflann::AutotunedIndex< Distance >::clone ( ) const [inline, virtual]

Implements rtflann::NNIndex< Distance >.

Definition at line 127 of file autotuned_index.h.

template<typename Distance >

IndexParams rtflann::AutotunedIndex< Distance >::estimateBuildParams ( ) [inline, private]

Chooses the best nearest-neighbor algorithm and estimates the optimal parameters to use when building the index (for a given precision). Returns a dictionary with the optimal parameters.

Definition at line 560 of file autotuned_index.h.

template<typename Distance >

float rtflann::AutotunedIndex< Distance >::estimateSearchParams ( SearchParams & searchParams ) [inline, private]

Estimates the search time parameters needed to get the desired precision. Precondition: the index is built Postcondition: the searchParams will have the optimum params set, also the speedup obtained over linear search.

Definition at line 647 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::evaluate_kdtree ( CostData & cost ) [inline, private]

Definition at line 397 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::evaluate_kmeans ( CostData & cost ) [inline, private]

Definition at line 370 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::findNeighbors	(	ResultSet< DistanceType > &	result,
		const ElementType *	vec,
		const SearchParams &	searchParams
	)		const `[inline, virtual]`

Method that searches for nearest-neighbors

Implements rtflann::NNIndex< Distance >.

Definition at line 294 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::freeIndex ( ) [inline, protected, virtual]

Implements rtflann::NNIndex< Distance >.

Definition at line 354 of file autotuned_index.h.

template<typename Distance >

IndexParams rtflann::AutotunedIndex< Distance >::getParameters ( ) const [inline, virtual]

Returns the parameters used by the index.

Returns:: The index parameters

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 300 of file autotuned_index.h.

template<typename Distance >

FLANN_DEPRECATED SearchParams rtflann::AutotunedIndex< Distance >::getSearchParameters ( ) const [inline]

Definition at line 305 of file autotuned_index.h.

template<typename Distance >

FLANN_DEPRECATED float rtflann::AutotunedIndex< Distance >::getSpeedup ( ) const [inline]

Definition at line 310 of file autotuned_index.h.

template<typename Distance >

flann_algorithm_t rtflann::AutotunedIndex< Distance >::getType ( ) const [inline, virtual]

Algorithm name

Implements rtflann::IndexBase.

Definition at line 343 of file autotuned_index.h.

template<typename Distance >

int rtflann::AutotunedIndex< Distance >::knnSearch	(	const Matrix< ElementType > &	queries,
		Matrix< size_t > &	indices,
		Matrix< DistanceType > &	dists,
		size_t	knn,
		const SearchParams &	params
	)		const `[inline, virtual]`

Perform k-nearest neighbor search.

Parameters:

[in]	queries	The query points for which to find the nearest neighbors
[out]	indices	The indices of the nearest neighbors found
[out]	dists	Distances to the nearest neighbors found
[in]	knn	Number of nearest neighbors to return
[in]	params	Search parameters

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 232 of file autotuned_index.h.

template<typename Distance >

int rtflann::AutotunedIndex< Distance >::knnSearch	(	const Matrix< ElementType > &	queries,
		std::vector< std::vector< size_t > > &	indices,
		std::vector< std::vector< DistanceType > > &	dists,
		size_t	knn,
		const SearchParams &	params
	)		const `[inline]`

Perform k-nearest neighbor search.

Parameters:

[in]	queries	The query points for which to find the nearest neighbors
[out]	indices	The indices of the nearest neighbors found
[out]	dists	Distances to the nearest neighbors found
[in]	knn	Number of nearest neighbors to return
[in]	params	Search parameters

Reimplemented from rtflann::NNIndex< Distance >.

Definition at line 246 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::loadIndex ( FILE * stream ) [inline, virtual]

Implements rtflann::IndexBase.

Definition at line 219 of file autotuned_index.h.

template<typename Distance >

AutotunedIndex& rtflann::AutotunedIndex< Distance >::operator= ( AutotunedIndex< Distance > other ) [inline]

Definition at line 116 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::optimizeKDTree ( std::vector< CostData > & costs ) [inline, private]

Definition at line 518 of file autotuned_index.h.

template<typename Distance >

void rtflann::AutotunedIndex< Distance >::optimizeKMeans ( std::vector< CostData > & costs ) [inline, private]

Definition at line 470 of file autotuned_index.h.

template<typename Distance >

int rtflann::AutotunedIndex< Distance >::radiusSearch	(	const Matrix< ElementType > &	queries,
		Matrix< size_t > &	indices,
		Matrix< DistanceType > &	dists,
		DistanceType	radius,
		const SearchParams &	params
	)		const `[inline]`

Definition at line 261 of file autotuned_index.h.

template<typename Distance >

int rtflann::AutotunedIndex< Distance >::radiusSearch	(	const Matrix< ElementType > &	queries,
		std::vector< std::vector< size_t > > &	indices,
		std::vector< std::vector< DistanceType > > &	dists,
		DistanceType	radius,
		const SearchParams &	params
	)		const `[inline]`