#include <ml.hpp>

Inheritance diagram for CvForestERTree:

Protected Member Functions
virtual double	calc_node_dir (CvDTreeNode *node)

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_cat_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_split_cat_reg (CvDTreeNode n, int vi, float init_quality=0, CvDTreeSplit _split=0, uchar *ext_buf=0)

virtual void	split_node_data (CvDTreeNode *n)

Protected Member Functions inherited from CvForestTree
virtual CvDTreeSplit *	find_best_split (CvDTreeNode *n)

Protected Member Functions inherited from CvDTree
virtual bool	do_train (const CvMat *_subsample_idx)

virtual void	try_split_node (CvDTreeNode *n)

virtual CvDTreeSplit *	find_surrogate_split_ord (CvDTreeNode n, int vi, uchar ext_buf=0)

virtual CvDTreeSplit *	find_surrogate_split_cat (CvDTreeNode n, int vi, uchar ext_buf=0)

virtual void	complete_node_dir (CvDTreeNode *node)

virtual void	cluster_categories (const int vectors, int vector_count, int var_count, int sums, int k, int *cluster_labels)

virtual void	calc_node_value (CvDTreeNode *node)

virtual void	prune_cv ()

virtual double	update_tree_rnc (int T, int fold)

virtual int	cut_tree (int T, int fold, double min_alpha)

virtual void	free_prune_data (bool cut_tree)

virtual void	free_tree ()

virtual void	write_node (CvFileStorage fs, CvDTreeNode node) const

virtual void	write_split (CvFileStorage fs, CvDTreeSplit split) const

virtual CvDTreeNode *	read_node (CvFileStorage fs, CvFileNode node, CvDTreeNode *parent)

virtual CvDTreeSplit *	read_split (CvFileStorage fs, CvFileNode node)

virtual void	write_tree_nodes (CvFileStorage *fs) const

virtual void	read_tree_nodes (CvFileStorage fs, CvFileNode node)

Additional Inherited Members
Public Member Functions inherited from CvForestTree
	CvForestTree ()

virtual	~CvForestTree ()

virtual bool	train (CvDTreeTrainData trainData, const CvMat _subsample_idx, CvRTrees *forest)

virtual int	get_var_count () const

virtual void	read (CvFileStorage fs, CvFileNode node, CvRTrees forest, CvDTreeTrainData _data)

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 (CvDTreeTrainData trainData, const CvMat _subsample_idx)

virtual void	read (CvFileStorage fs, CvFileNode node)

virtual void	read (CvFileStorage fs, CvFileNode node, CvDTreeTrainData *data)

Public Member Functions inherited from CvDTree
	CvDTree ()

virtual	~CvDTree ()

virtual bool	train (CvMLData *trainData, CvDTreeParams params=CvDTreeParams())

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

virtual CvDTreeNode *	predict (const CvMat sample, const CvMat missingDataMask=0, bool preprocessedInput=false) 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(), CvDTreeParams params=CvDTreeParams())

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

virtual cv::Mat	getVarImportance ()

virtual const CvMat *	get_var_importance ()

virtual void	clear ()

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

virtual void	write (CvFileStorage *fs) const

const CvDTreeNode *	get_root () const

int	get_pruned_tree_idx () const

CvDTreeTrainData *	get_data ()

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)

Public Attributes inherited from CvDTree
int	pruned_tree_idx

Protected Attributes inherited from CvForestTree
CvRTrees *	forest

Protected Attributes inherited from CvDTree
CvDTreeNode *	root

CvMat *	var_importance

CvDTreeTrainData *	data

Protected Attributes inherited from CvStatModel
const char *	default_model_name

Member Function Documentation

§ calc_node_dir()

virtual double CvForestERTree::calc_node_dir ( CvDTreeNode * node )

protectedvirtual

Reimplemented from CvDTree.

§ find_split_cat_class()

virtual CvDTreeSplit* CvForestERTree::find_split_cat_class	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = `0`,
		CvDTreeSplit *	_split = `0`,
		uchar *	ext_buf = `0`
	)

protectedvirtual

Reimplemented from CvDTree.

§ find_split_cat_reg()

virtual CvDTreeSplit* CvForestERTree::find_split_cat_reg	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = `0`,
		CvDTreeSplit *	_split = `0`,
		uchar *	ext_buf = `0`
	)

protectedvirtual

Reimplemented from CvDTree.

§ find_split_ord_class()

virtual CvDTreeSplit* CvForestERTree::find_split_ord_class	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = `0`,
		CvDTreeSplit *	_split = `0`,
		uchar *	ext_buf = `0`
	)

protectedvirtual

Reimplemented from CvDTree.

§ find_split_ord_reg()

virtual CvDTreeSplit* CvForestERTree::find_split_ord_reg	(	CvDTreeNode *	n,
		int	vi,
		float	init_quality = `0`,
		CvDTreeSplit *	_split = `0`,
		uchar *	ext_buf = `0`
	)

protectedvirtual

Reimplemented from CvDTree.

§ split_node_data()

virtual void CvForestERTree::split_node_data ( CvDTreeNode * n )

protectedvirtual

Reimplemented from CvDTree.

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

ml/ml.hpp

Protected Member Functions

Additional Inherited Members

Member Function Documentation

§ calc_node_dir()

§ find_split_cat_class()

§ find_split_cat_reg()

§ find_split_ord_class()

§ find_split_ord_reg()

§ split_node_data()