#include <ml.hpp>

Inheritance diagram for CvDTreeTrainData:

Public Member Functions
virtual void	clear ()
	CvDTreeTrainData ()
	CvDTreeTrainData (const CvMat trainData, int tflag, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, const CvMat varType=0, const CvMat missingDataMask=0, const CvDTreeParams &params=CvDTreeParams(), bool _shared=false, bool _add_labels=false)
virtual void	do_responses_copy ()
virtual void	free_node (CvDTreeNode *node)
virtual void	free_node_data (CvDTreeNode *node)
virtual void	free_train_data ()
virtual const int *	get_cat_var_data (CvDTreeNode n, int vi, int cat_values_buf)
virtual int	get_child_buf_idx (CvDTreeNode *n)
virtual const int *	get_class_labels (CvDTreeNode n, int labels_buf)
virtual const int *	get_cv_labels (CvDTreeNode n, int labels_buf)
int	get_num_classes () const
virtual const float *	get_ord_responses (CvDTreeNode n, float values_buf, int *sample_indices_buf)
virtual void	get_ord_var_data (CvDTreeNode n, int vi, float ord_values_buf, int sorted_indices_buf, const float ord_values, const int sorted_indices, int sample_indices_buf)
virtual const int *	get_sample_indices (CvDTreeNode n, int indices_buf)
int	get_var_type (int vi) const
virtual void	get_vectors (const CvMat _subsample_idx, float values, uchar missing, float responses, bool get_class_idx=false)
int	get_work_var_count () const
virtual CvDTreeNode *	new_node (CvDTreeNode *parent, int count, int storage_idx, int offset)
virtual CvDTreeSplit *	new_split_cat (int vi, float quality)
virtual CvDTreeSplit *	new_split_ord (int vi, float cmp_val, int split_point, int inversed, float quality)
virtual void	read_params (CvFileStorage fs, CvFileNode node)
virtual void	set_data (const CvMat trainData, int tflag, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, const CvMat varType=0, const CvMat missingDataMask=0, const CvDTreeParams &params=CvDTreeParams(), bool _shared=false, bool _add_labels=false, bool _update_data=false)
virtual bool	set_params (const CvDTreeParams &params)
virtual CvDTreeNode *	subsample_data (const CvMat *_subsample_idx)
virtual void	write_params (CvFileStorage *fs) const
virtual	~CvDTreeTrainData ()
Public Attributes
CvMat *	buf
int	buf_count
int	buf_size
CvMat *	cat_count
CvMat *	cat_map
CvMat *	cat_ofs
int	cat_var_count
CvMat *	counts
CvSet *	cv_heap
CvDTreeNode *	data_root
CvMat *	direction
bool	have_labels
bool	have_priors
int	is_buf_16u
bool	is_classifier
int	max_c_count
CvSet *	node_heap
CvSet *	nv_heap
int	ord_var_count
CvDTreeParams	params
CvMat *	priors
CvMat *	priors_mult
const CvMat *	responses
CvMat *	responses_copy
cv::RNG *	rng
int	sample_count
bool	shared
CvMat *	split_buf
CvSet *	split_heap
CvMemStorage *	temp_storage
int	tflag
const CvMat *	train_data
CvMemStorage *	tree_storage
int	var_all
int	var_count
CvMat *	var_idx
CvMat *	var_type
int	work_var_count

Constructor & Destructor Documentation

CvDTreeTrainData::CvDTreeTrainData ( )

CvDTreeTrainData::CvDTreeTrainData	(	const CvMat *	trainData,
		int	tflag,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		const CvMat *	varType = `0`,
		const CvMat *	missingDataMask = `0`,
		const CvDTreeParams &	params = `CvDTreeParams()`,
		bool	_shared = `false`,
		bool	_add_labels = `false`
	)

virtual CvDTreeTrainData::~CvDTreeTrainData ( ) [virtual]

Member Function Documentation

virtual void CvDTreeTrainData::clear ( ) [virtual]

virtual void CvDTreeTrainData::do_responses_copy ( ) [virtual]

virtual void CvDTreeTrainData::free_node ( CvDTreeNode * node ) [virtual]

virtual void CvDTreeTrainData::free_node_data ( CvDTreeNode * node ) [virtual]

virtual void CvDTreeTrainData::free_train_data ( ) [virtual]

virtual const int* CvDTreeTrainData::get_cat_var_data	(	CvDTreeNode *	n,
		int	vi,
		int *	cat_values_buf
	)		`[virtual]`

Reimplemented in CvERTreeTrainData.

virtual int CvDTreeTrainData::get_child_buf_idx ( CvDTreeNode * n ) [virtual]

virtual const int* CvDTreeTrainData::get_class_labels	(	CvDTreeNode *	n,
		int *	labels_buf
	)		`[virtual]`

virtual const int* CvDTreeTrainData::get_cv_labels	(	CvDTreeNode *	n,
		int *	labels_buf
	)		`[virtual]`

Reimplemented in CvERTreeTrainData.

int CvDTreeTrainData::get_num_classes ( ) const

virtual const float* CvDTreeTrainData::get_ord_responses	(	CvDTreeNode *	n,
		float *	values_buf,
		int *	sample_indices_buf
	)		`[virtual]`

virtual void CvDTreeTrainData::get_ord_var_data	(	CvDTreeNode *	n,
		int	vi,
		float *	ord_values_buf,
		int *	sorted_indices_buf,
		const float **	ord_values,
		const int **	sorted_indices,
		int *	sample_indices_buf
	)		`[virtual]`

Reimplemented in CvERTreeTrainData.

virtual const int* CvDTreeTrainData::get_sample_indices	(	CvDTreeNode *	n,
		int *	indices_buf
	)		`[virtual]`

Reimplemented in CvERTreeTrainData.

int CvDTreeTrainData::get_var_type ( int vi ) const

virtual void CvDTreeTrainData::get_vectors	(	const CvMat *	_subsample_idx,
		float *	values,
		uchar *	missing,
		float *	responses,
		bool	get_class_idx = `false`
	)		`[virtual]`

Reimplemented in CvERTreeTrainData.

int CvDTreeTrainData::get_work_var_count ( ) const [inline]

virtual CvDTreeNode* CvDTreeTrainData::new_node	(	CvDTreeNode *	parent,
		int	count,
		int	storage_idx,
		int	offset
	)		`[virtual]`

virtual CvDTreeSplit* CvDTreeTrainData::new_split_cat	(	int	vi,
		float	quality
	)		`[virtual]`

virtual CvDTreeSplit* CvDTreeTrainData::new_split_ord	(	int	vi,
		float	cmp_val,
		int	split_point,
		int	inversed,
		float	quality
	)		`[virtual]`

virtual void CvDTreeTrainData::read_params	(	CvFileStorage *	fs,
		CvFileNode *	node
	)		`[virtual]`

virtual void CvDTreeTrainData::set_data	(	const CvMat *	trainData,
		int	tflag,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		const CvMat *	varType = `0`,
		const CvMat *	missingDataMask = `0`,
		const CvDTreeParams &	params = `CvDTreeParams()`,
		bool	_shared = `false`,
		bool	_add_labels = `false`,
		bool	_update_data = `false`
	)		`[virtual]`