CvKNearest Class Reference

#include <ml.hpp>

Inheritance diagram for CvKNearest:

Public Member Functions
	CvKNearest ()
virtual	~CvKNearest ()
	CvKNearest (const CvMat *trainData, const CvMat *responses, const CvMat *sampleIdx=0, bool isRegression=false, int max_k=32)
virtual bool	train (const CvMat *trainData, const CvMat *responses, const CvMat *sampleIdx=0, bool is_regression=false, int maxK=32, bool updateBase=false)
virtual float	find_nearest (const CvMat *samples, int k, CV_OUT CvMat *results=0, const float **neighbors=0, CV_OUT CvMat *neighborResponses=0, CV_OUT CvMat *dist=0) const
	CvKNearest (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &sampleIdx=cv::Mat(), bool isRegression=false, int max_k=32)
virtual bool	train (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &sampleIdx=cv::Mat(), bool isRegression=false, int maxK=32, bool updateBase=false)
virtual float	find_nearest (const cv::Mat &samples, int k, cv::Mat *results=0, const float **neighbors=0, cv::Mat *neighborResponses=0, cv::Mat *dist=0) const
virtual float	find_nearest (const cv::Mat &samples, int k, CV_OUT cv::Mat &results, CV_OUT cv::Mat &neighborResponses, CV_OUT cv::Mat &dists) const
virtual void	clear ()
int	get_max_k () const
int	get_var_count () const
int	get_sample_count () const
bool	is_regression () const
virtual float	write_results (int k, int k1, int start, int end, const float *neighbor_responses, const float *dist, CvMat *_results, CvMat *_neighbor_responses, CvMat *_dist, Cv32suf *sort_buf) const
virtual void	find_neighbors_direct (const CvMat *_samples, int k, int start, int end, float *neighbor_responses, const float **neighbors, float *dist) const
Public Member Functions inherited from CvStatModel
	CvStatModel ()
virtual	~CvStatModel ()
virtual void	save (const char *filename, const char *name=0) const
virtual void	load (const char *filename, const char *name=0)
virtual void	write (CvFileStorage *storage, const char *name) const
virtual void	read (CvFileStorage *storage, CvFileNode *node)

Protected Attributes
int	max_k
int	var_count
int	total
bool	regression
CvVectors *	samples
Protected Attributes inherited from CvStatModel
const char *	default_model_name

Constructor & Destructor Documentation

CvKNearest() [1/3]

CvKNearest::CvKNearest

(

)

~CvKNearest()

virtual CvKNearest::~CvKNearest ( )

virtual

CvKNearest() [2/3]

CvKNearest::CvKNearest	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	sampleIdx = 0,
		bool	isRegression = false,
		int	max_k = 32
	)

CvKNearest() [3/3]

CvKNearest::CvKNearest	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	sampleIdx = cv::Mat(),
		bool	isRegression = false,
		int	max_k = 32
	)

Member Function Documentation

clear()

virtual void CvKNearest::clear ( )

virtual

Reimplemented from CvStatModel.

Reimplemented in cv::ocl::KNearestNeighbour.

find_nearest() [1/3]

virtual float CvKNearest::find_nearest ( const CvMat *  samples, int  k, CV_OUT CvMat *  results = 0, const float **  neighbors = 0, CV_OUT CvMat *  neighborResponses = 0, CV_OUT CvMat *  dist = 0  ) const

virtual

find_nearest() [2/3]

virtual float CvKNearest::find_nearest ( const cv::Mat &  samples, int  k, cv::Mat *  results = 0, const float **  neighbors = 0, cv::Mat *  neighborResponses = 0, cv::Mat *  dist = 0  ) const

virtual

find_nearest() [3/3]

virtual float CvKNearest::find_nearest ( const cv::Mat &  samples, int  k, CV_OUT cv::Mat &  results, CV_OUT cv::Mat &  neighborResponses, CV_OUT cv::Mat &  dists  ) const

virtual

find_neighbors_direct()

virtual void CvKNearest::find_neighbors_direct ( const CvMat *  _samples, int  k, int  start, int  end, float *  neighbor_responses, const float **  neighbors, float *  dist  ) const

virtual

get_max_k()

int CvKNearest::get_max_k

(

)

const

get_sample_count()

int CvKNearest::get_sample_count

(

)

const

get_var_count()

int CvKNearest::get_var_count

(

)

const

is_regression()

bool CvKNearest::is_regression

(

)

const

train() [1/2]

virtual bool CvKNearest::train ( const CvMat *  trainData, const CvMat *  responses, const CvMat *  sampleIdx = 0, bool  is_regression = false, int  maxK = 32, bool  updateBase = false  )

virtual

train() [2/2]

virtual bool CvKNearest::train ( const cv::Mat &  trainData, const cv::Mat &  responses, const cv::Mat &  sampleIdx = cv::Mat(), bool  isRegression = false, int  maxK = 32, bool  updateBase = false  )

virtual

write_results()

virtual float CvKNearest::write_results ( int  k, int  k1, int  start, int  end, const float *  neighbor_responses, const float *  dist, CvMat *  _results, CvMat *  _neighbor_responses, CvMat *  _dist, Cv32suf *  sort_buf  ) const

virtual

Member Data Documentation

max_k

int CvKNearest::max_k

protected

regression

bool CvKNearest::regression

protected

samples

CvVectors* CvKNearest::samples

protected

total

int CvKNearest::total

protected

var_count

int CvKNearest::var_count

protected

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

• ml/ml.hpp