#include <ml.hpp>

Inheritance diagram for CvRTrees:

Public Member Functions
	CvRTrees ()

virtual	~CvRTrees ()

virtual bool	train (const CvMat trainData, int tflag, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, const CvMat varType=0, const CvMat missingDataMask=0, CvRTParams params=CvRTParams())

virtual bool	train (CvMLData *data, CvRTParams params=CvRTParams())

virtual float	predict (const CvMat sample, const CvMat missing=0) const

virtual float	predict_prob (const CvMat sample, const CvMat missing=0) const

virtual bool	train (const cv::Mat &trainData, int tflag, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), const cv::Mat &varType=cv::Mat(), const cv::Mat &missingDataMask=cv::Mat(), CvRTParams params=CvRTParams())

virtual float	predict (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const

virtual float	predict_prob (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const

virtual cv::Mat	getVarImportance ()

virtual void	clear ()

virtual const CvMat *	get_var_importance ()

virtual float	get_proximity (const CvMat sample1, const CvMat sample2, const CvMat missing1=0, const CvMat missing2=0) const

virtual float	calc_error (CvMLData data, int type, std::vector< float > resp=0)

virtual float	get_train_error ()

virtual void	read (CvFileStorage fs, CvFileNode node)

virtual void	write (CvFileStorage fs, const char name) const

CvMat *	get_active_var_mask ()

CvRNG *	get_rng ()

int	get_tree_count () const

CvForestTree *	get_tree (int i) 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)

Protected Member Functions
virtual std::string	getName () const

virtual bool	grow_forest (const CvTermCriteria term_crit)

Protected Attributes
CvForestTree **	trees

CvDTreeTrainData *	data

int	ntrees

int	nclasses

double	oob_error

CvMat *	var_importance

int	nsamples

cv::RNG *	rng

CvMat *	active_var_mask

Protected Attributes inherited from CvStatModel
const char *	default_model_name

Constructor & Destructor Documentation

CvRTrees::CvRTrees ( )

virtual CvRTrees::~CvRTrees ( )

virtual

Member Function Documentation

virtual float CvRTrees::calc_error	(	CvMLData *	data,
		int	type,
		std::vector< float > *	resp = `0`
	)

virtual

virtual void CvRTrees::clear ( )

virtual

Reimplemented from CvStatModel.

CvMat* CvRTrees::get_active_var_mask ( )

virtual float CvRTrees::get_proximity	(	const CvMat *	sample1,
		const CvMat *	sample2,
		const CvMat *	missing1 = `0`,
		const CvMat *	missing2 = `0`
	)		const

virtual

CvRNG* CvRTrees::get_rng ( )

virtual float CvRTrees::get_train_error ( )

virtual

CvForestTree* CvRTrees::get_tree ( int i ) const

int CvRTrees::get_tree_count ( ) const

virtual const CvMat* CvRTrees::get_var_importance ( )

virtual

virtual std::string CvRTrees::getName ( ) const

protectedvirtual

Reimplemented in CvERTrees.

virtual cv::Mat CvRTrees::getVarImportance ( )

virtual

virtual bool CvRTrees::grow_forest ( const CvTermCriteria term_crit )

protectedvirtual

Reimplemented in CvERTrees.

virtual float CvRTrees::predict	(	const CvMat *	sample,
		const CvMat *	missing = `0`
	)		const

virtual

virtual float CvRTrees::predict	(	const cv::Mat &	sample,
		const cv::Mat &	missing = `cv::Mat()`
	)		const

virtual

virtual float CvRTrees::predict_prob	(	const CvMat *	sample,
		const CvMat *	missing = `0`
	)		const

virtual

virtual float CvRTrees::predict_prob	(	const cv::Mat &	sample,
		const cv::Mat &	missing = `cv::Mat()`
	)		const

virtual

virtual void CvRTrees::read	(	CvFileStorage *	fs,
		CvFileNode *	node
	)

virtual

Reimplemented from CvStatModel.

virtual bool CvRTrees::train	(	const CvMat *	trainData,
		int	tflag,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		const CvMat *	varType = `0`,
		const CvMat *	missingDataMask = `0`,
		CvRTParams	params = `CvRTParams()`
	)

virtual

Reimplemented in CvERTrees.

virtual bool CvRTrees::train	(	CvMLData *	data,
		CvRTParams	params = `CvRTParams()`
	)

virtual

Reimplemented in CvERTrees.

virtual bool CvRTrees::train	(	const cv::Mat &	trainData,
		int	tflag,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = `cv::Mat()`,
		const cv::Mat &	sampleIdx = `cv::Mat()`,
		const cv::Mat &	varType = `cv::Mat()`,
		const cv::Mat &	missingDataMask = `cv::Mat()`,
		CvRTParams	params = `CvRTParams()`
	)

virtual

Reimplemented in CvERTrees.

virtual void CvRTrees::write	(	CvFileStorage *	fs,
		const char *	name
	)		const

virtual

Reimplemented from CvStatModel.

Member Data Documentation

CvMat* CvRTrees::active_var_mask

protected

CvDTreeTrainData* CvRTrees::data

protected

int CvRTrees::nclasses

protected

int CvRTrees::nsamples

protected

int CvRTrees::ntrees

protected

double CvRTrees::oob_error

protected

cv::RNG* CvRTrees::rng

protected

CvForestTree** CvRTrees::trees

protected

CvMat* CvRTrees::var_importance

protected

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

ml/ml.hpp

Public Member Functions

Protected Member Functions

Protected Attributes

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation