CvRTrees Class Reference

#include <ml.hpp>

Inheritance diagram for CvRTrees:

List of all members.

Public Member Functions
virtual float	calc_error (CvMLData *_data, int type, std::vector< float > *resp=0)
virtual CV_WRAP void	clear ()
CV_WRAP	CvRTrees ()
CvMat *	get_active_var_mask ()
virtual float	get_proximity (const CvMat *sample1, const CvMat *sample2, const CvMat *missing1=0, const CvMat *missing2=0) const
CvRNG *	get_rng ()
virtual float	get_train_error ()
CvForestTree *	get_tree (int i) const
int	get_tree_count () const
virtual const CvMat *	get_var_importance ()
virtual CV_WRAP cv::Mat	getVarImportance ()
virtual CV_WRAP float	predict (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const
virtual float	predict (const CvMat *sample, const CvMat *missing=0) const
virtual CV_WRAP float	predict_prob (const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const
virtual float	predict_prob (const CvMat *sample, const CvMat *missing=0) const
virtual void	read (CvFileStorage *fs, CvFileNode *node)
virtual CV_WRAP 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 bool	train (CvMLData *data, CvRTParams params=CvRTParams())
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 void	write (CvFileStorage *fs, const char *name) const
virtual	~CvRTrees ()
Protected Member Functions
virtual bool	grow_forest (const CvTermCriteria term_crit)
Protected Attributes
CvMat *	active_var_mask
CvDTreeTrainData *	data
int	nclasses
int	nsamples
int	ntrees
double	oob_error
cv::RNG *	rng
CvForestTree **	trees
CvMat *	var_importance

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Constructor & Destructor Documentation

CV_WRAP CvRTrees::CvRTrees

(

)

virtual CvRTrees::~CvRTrees

(

)

[virtual]

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Member Function Documentation

virtual float CvRTrees::calc_error	(	CvMLData *	_data,
		int	type,
		std::vector< float > *	resp = 0
	)			[virtual]

virtual CV_WRAP 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 CV_WRAP cv::Mat CvRTrees::getVarImportance

(

)

[virtual]

virtual bool CvRTrees::grow_forest

(

const CvTermCriteria

term_crit

)

[protected, virtual]

Reimplemented in CvERTrees.

virtual CV_WRAP float CvRTrees::predict	(	const cv::Mat &	sample,
		const cv::Mat &	missing = cv::Mat()
	)			const [virtual]

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

virtual CV_WRAP float CvRTrees::predict_prob	(	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 void CvRTrees::read	(	CvFileStorage *	fs,
		CvFileNode *	node
	)			[virtual]

Reimplemented from CvStatModel.

virtual CV_WRAP 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 bool CvRTrees::train	(	CvMLData *	data,
		CvRTParams	params = CvRTParams()
	)			[virtual]

Reimplemented in CvERTrees.

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

Reimplemented from CvStatModel.

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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]

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

• /home/grier/opencv/opencv/modules/ml/include/opencv2/ml/ml.hpp