CvDTree Class Reference

#include <ml.hpp>

Inheritance diagram for CvDTree:

List of all members.

Public Member Functions
virtual float	calc_error (CvMLData *trainData, int type, std::vector< float > *resp=0)
virtual CV_WRAP void	clear ()
CV_WRAP	CvDTree ()
CvDTreeTrainData *	get_data ()
int	get_pruned_tree_idx () const
const CvDTreeNode *	get_root () const
virtual const CvMat *	get_var_importance ()
virtual CV_WRAP cv::Mat	getVarImportance ()
virtual CV_WRAP CvDTreeNode *	predict (const cv::Mat &sample, const cv::Mat &missingDataMask=cv::Mat(), bool preprocessedInput=false) const
virtual CvDTreeNode *	predict (const CvMat *sample, const CvMat *missingDataMask=0, bool preprocessedInput=false) const
virtual void	read (CvFileStorage *fs, CvFileNode *node)
virtual void	read (CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data)
virtual bool	train (CvDTreeTrainData *trainData, const CvMat *subsampleIdx)
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, CvDTreeParams params=CvDTreeParams())
virtual bool	train (CvMLData *trainData, CvDTreeParams params=CvDTreeParams())
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(), CvDTreeParams params=CvDTreeParams())
virtual void	write (CvFileStorage *fs) const
virtual void	write (CvFileStorage *fs, const char *name) const
virtual	~CvDTree ()
Public Attributes
int	pruned_tree_idx
Protected Member Functions
virtual double	calc_node_dir (CvDTreeNode *node)
virtual void	calc_node_value (CvDTreeNode *node)
virtual void	cluster_categories (const int *vectors, int vector_count, int var_count, int *sums, int k, int *cluster_labels)
virtual void	complete_node_dir (CvDTreeNode *node)
virtual int	cut_tree (int T, int fold, double min_alpha)
virtual bool	do_train (const CvMat *_subsample_idx)
virtual CvDTreeSplit *	find_best_split (CvDTreeNode *n)
virtual CvDTreeSplit *	find_split_cat_class (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)
virtual CvDTreeSplit *	find_split_cat_reg (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)
virtual CvDTreeSplit *	find_split_ord_class (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)
virtual CvDTreeSplit *	find_split_ord_reg (CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)
virtual CvDTreeSplit *	find_surrogate_split_cat (CvDTreeNode *n, int vi, uchar *ext_buf=0)
virtual CvDTreeSplit *	find_surrogate_split_ord (CvDTreeNode *n, int vi, uchar *ext_buf=0)
virtual void	free_prune_data (bool cut_tree)
virtual void	free_tree ()
virtual void	prune_cv ()
virtual CvDTreeNode *	read_node (CvFileStorage *fs, CvFileNode *node, CvDTreeNode *parent)
virtual CvDTreeSplit *	read_split (CvFileStorage *fs, CvFileNode *node)
virtual void	read_tree_nodes (CvFileStorage *fs, CvFileNode *node)
virtual void	split_node_data (CvDTreeNode *n)
virtual void	try_split_node (CvDTreeNode *n)
virtual double	update_tree_rnc (int T, int fold)
virtual void	write_node (CvFileStorage *fs, CvDTreeNode *node) const
virtual void	write_split (CvFileStorage *fs, CvDTreeSplit *split) const
virtual void	write_tree_nodes (CvFileStorage *fs) const
Protected Attributes
CvDTreeTrainData *	data
CvDTreeNode *	root
CvMat *	var_importance
Friends
struct	cv::DTreeBestSplitFinder

---

Constructor & Destructor Documentation

CV_WRAP CvDTree::CvDTree

(

)

virtual CvDTree::~CvDTree

(

)

[virtual]

---

Member Function Documentation

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

virtual double CvDTree::calc_node_dir

(

CvDTreeNode *

node )

[protected, virtual]

Reimplemented in CvForestERTree, and CvBoostTree.

virtual void CvDTree::calc_node_value

(

CvDTreeNode *

node )

[protected, virtual]

Reimplemented in CvBoostTree.

virtual CV_WRAP void CvDTree::clear

(

)

[virtual]

Reimplemented from CvStatModel.

Reimplemented in CvBoostTree.

virtual void CvDTree::cluster_categories	(	const int *	vectors,
		int	vector_count,
		int	var_count,
		int *	sums,
		int	k,
		int *	cluster_labels
	)		[protected, virtual]

virtual void CvDTree::complete_node_dir

(

CvDTreeNode *

node )

[protected, virtual]

virtual int CvDTree::cut_tree	(	int	T,
		int	fold,
		double	min_alpha
	)		[protected, virtual]

virtual bool CvDTree::do_train

(

const CvMat *

_subsample_idx )

[protected, virtual]

virtual CvDTreeSplit* CvDTree::find_best_split

(

CvDTreeNode *

n )

[protected, virtual]

Reimplemented in CvForestTree.

virtual CvDTreeSplit* CvDTree::find_split_cat_class	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = 0,
		CvDTreeSplit *	_split = 0,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvForestERTree, and CvBoostTree.

virtual CvDTreeSplit* CvDTree::find_split_cat_reg	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = 0,
		CvDTreeSplit *	_split = 0,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvForestERTree, and CvBoostTree.

virtual CvDTreeSplit* CvDTree::find_split_ord_class	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = 0,
		CvDTreeSplit *	_split = 0,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvForestERTree, and CvBoostTree.

virtual CvDTreeSplit* CvDTree::find_split_ord_reg	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = 0,
		CvDTreeSplit *	_split = 0,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvForestERTree, and CvBoostTree.

virtual CvDTreeSplit* CvDTree::find_surrogate_split_cat	(	CvDTreeNode *	n,
		int	vi,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvBoostTree.

virtual CvDTreeSplit* CvDTree::find_surrogate_split_ord	(	CvDTreeNode *	n,
		int	vi,
		uchar *	ext_buf = 0
	)		[protected, virtual]

Reimplemented in CvBoostTree.

virtual void CvDTree::free_prune_data

(

bool

cut_tree )

[protected, virtual]

virtual void CvDTree::free_tree

(

)

[protected, virtual]

CvDTreeTrainData* CvDTree::get_data

(

)

int CvDTree::get_pruned_tree_idx

(

)

const

const CvDTreeNode* CvDTree::get_root

(

)

const

virtual const CvMat* CvDTree::get_var_importance

(

)

[virtual]

virtual CV_WRAP cv::Mat CvDTree::getVarImportance

(

)

[virtual]

virtual CvDTreeNode* CvDTree::predict	(	const CvMat *	sample,
		const CvMat *	missingDataMask = 0,
		bool	preprocessedInput = false
	)		const [virtual]

virtual CV_WRAP CvDTreeNode* CvDTree::predict	(	const cv::Mat &	sample,
		const cv::Mat &	missingDataMask = cv::Mat(),
		bool	preprocessedInput = false
	)		const [virtual]

virtual void CvDTree::prune_cv

(

)

[protected, virtual]

virtual void CvDTree::read	(	CvFileStorage *	fs,
		CvFileNode *	node
	)		[virtual]

Reimplemented from CvStatModel.

Reimplemented in CvForestTree, and CvBoostTree.

virtual void CvDTree::read	(	CvFileStorage *	fs,
		CvFileNode *	node,
		CvDTreeTrainData *	data
	)		[virtual]

Reimplemented in CvForestTree, and CvBoostTree.

virtual CvDTreeNode* CvDTree::read_node	(	CvFileStorage *	fs,
		CvFileNode *	node,
		CvDTreeNode *	parent
	)		[protected, virtual]

virtual CvDTreeSplit* CvDTree::read_split	(	CvFileStorage *	fs,
		CvFileNode *	node
	)		[protected, virtual]

virtual void CvDTree::read_tree_nodes	(	CvFileStorage *	fs,
		CvFileNode *	node
	)		[protected, virtual]

virtual void CvDTree::split_node_data

(

CvDTreeNode *

n )

[protected, virtual]

Reimplemented in CvForestERTree.

virtual bool CvDTree::train	(	CvMLData *	trainData,
		CvDTreeParams	params = CvDTreeParams()
	)		[virtual]

virtual bool CvDTree::train	(	CvDTreeTrainData *	trainData,
		const CvMat *	subsampleIdx
	)		[virtual]

Reimplemented in CvForestTree, and CvBoostTree.

virtual CV_WRAP bool CvDTree::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(),
		CvDTreeParams	params = CvDTreeParams()
	)		[virtual]

virtual bool CvDTree::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,
		CvDTreeParams	params = CvDTreeParams()
	)		[virtual]

Reimplemented in CvForestTree, and CvBoostTree.

virtual void CvDTree::try_split_node

(

CvDTreeNode *

n )

[protected, virtual]

Reimplemented in CvBoostTree.

virtual double CvDTree::update_tree_rnc	(	int	T,
		int	fold
	)		[protected, virtual]

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

Reimplemented from CvStatModel.

virtual void CvDTree::write

(

CvFileStorage *

fs )

const [virtual]

virtual void CvDTree::write_node	(	CvFileStorage *	fs,
		CvDTreeNode *	node
	)		const [protected, virtual]

virtual void CvDTree::write_split	(	CvFileStorage *	fs,
		CvDTreeSplit *	split
	)		const [protected, virtual]

virtual void CvDTree::write_tree_nodes

(

CvFileStorage *

fs )

const [protected, virtual]

---

Friends And Related Function Documentation

friend struct cv::DTreeBestSplitFinder [friend]

---

Member Data Documentation

CvDTreeTrainData* CvDTree::data [protected]

int CvDTree::pruned_tree_idx

CvDTreeNode* CvDTree::root [protected]

CvMat* CvDTree::var_importance [protected]

---

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

• /usr/ports/pobj/OpenCV-2.2.0/OpenCV-2.2.0/modules/ml/include/opencv2/ml/ml.hpp