#include <ml.hpp>

Inheritance diagram for CvDTreeTrainData:

Public Member Functions
	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 ()

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 void	do_responses_copy ()

virtual void	get_vectors (const CvMat _subsample_idx, float values, uchar missing, float responses, bool get_class_idx=false)

virtual CvDTreeNode *	subsample_data (const CvMat *_subsample_idx)

virtual void	write_params (CvFileStorage *fs) const

virtual void	read_params (CvFileStorage fs, CvFileNode node)

virtual void	clear ()

int	get_num_classes () const

int	get_var_type (int vi) const

int	get_work_var_count () const

virtual const float *	get_ord_responses (CvDTreeNode n, float values_buf, int *sample_indices_buf)

virtual const int *	get_class_labels (CvDTreeNode n, int labels_buf)

virtual const int *	get_cv_labels (CvDTreeNode n, int labels_buf)

virtual const int *	get_sample_indices (CvDTreeNode n, int indices_buf)

virtual const int *	get_cat_var_data (CvDTreeNode n, int vi, int cat_values_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 int	get_child_buf_idx (CvDTreeNode *n)

virtual bool	set_params (const CvDTreeParams &params)

virtual CvDTreeNode *	new_node (CvDTreeNode *parent, int count, int storage_idx, int offset)

virtual CvDTreeSplit *	new_split_ord (int vi, float cmp_val, int split_point, int inversed, float quality)

virtual CvDTreeSplit *	new_split_cat (int vi, float quality)

virtual void	free_node_data (CvDTreeNode *node)

virtual void	free_train_data ()

virtual void	free_node (CvDTreeNode *node)

size_t	get_length_subbuf () const

Public Attributes
int	sample_count

int	var_all

int	var_count

int	max_c_count

int	ord_var_count

int	cat_var_count

int	work_var_count

bool	have_labels

bool	have_priors

bool	is_classifier

int	tflag

const CvMat *	train_data

const CvMat *	responses

CvMat *	responses_copy

int	buf_count

int	buf_size

bool	shared

int	is_buf_16u

CvMat *	cat_count

CvMat *	cat_ofs

CvMat *	cat_map

CvMat *	counts

CvMat *	buf

CvMat *	direction

CvMat *	split_buf

CvMat *	var_idx

CvMat *	var_type

CvMat *	priors

CvMat *	priors_mult

CvDTreeParams	params

CvMemStorage *	tree_storage

CvMemStorage *	temp_storage

CvDTreeNode *	data_root

CvSet *	node_heap

CvSet *	split_heap

CvSet *	cv_heap

CvSet *	nv_heap

cv::RNG *	rng

Constructor & Destructor Documentation

§ CvDTreeTrainData() [1/2]

CvDTreeTrainData::CvDTreeTrainData ( )

§ CvDTreeTrainData() [2/2]

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`
	)

§ ~CvDTreeTrainData()

virtual CvDTreeTrainData::~CvDTreeTrainData ( )

virtual

Member Function Documentation

§ clear()

virtual void CvDTreeTrainData::clear ( )

virtual

§ do_responses_copy()

virtual void CvDTreeTrainData::do_responses_copy ( )

virtual

§ free_node()

virtual void CvDTreeTrainData::free_node ( CvDTreeNode * node )

virtual

§ free_node_data()

virtual void CvDTreeTrainData::free_node_data ( CvDTreeNode * node )

virtual

§ free_train_data()

virtual void CvDTreeTrainData::free_train_data ( )

virtual

§ get_cat_var_data()

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

virtual

Reimplemented in CvERTreeTrainData.

§ get_child_buf_idx()

virtual int CvDTreeTrainData::get_child_buf_idx ( CvDTreeNode * n )

virtual

§ get_class_labels()

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

virtual

§ get_cv_labels()

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

virtual

Reimplemented in CvERTreeTrainData.

§ get_length_subbuf()

size_t CvDTreeTrainData::get_length_subbuf ( ) const

inline

§ get_num_classes()

int CvDTreeTrainData::get_num_classes ( ) const

§ get_ord_responses()

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

virtual

§ get_ord_var_data()

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.

§ get_sample_indices()

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

virtual

Reimplemented in CvERTreeTrainData.

§ get_var_type()

int CvDTreeTrainData::get_var_type ( int vi ) const

§ get_vectors()

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

virtual

Reimplemented in CvERTreeTrainData.

§ get_work_var_count()

int CvDTreeTrainData::get_work_var_count ( ) const

inline

§ new_node()

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

virtual

§ new_split_cat()

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

virtual

§ new_split_ord()

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

virtual

§ read_params()

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

virtual

§ set_data()

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

Reimplemented in CvERTreeTrainData.

§ set_params()

virtual bool CvDTreeTrainData::set_params ( const CvDTreeParams & params )

virtual

§ subsample_data()

virtual CvDTreeNode* CvDTreeTrainData::subsample_data ( const CvMat * _subsample_idx )

virtual

Reimplemented in CvERTreeTrainData.

§ write_params()

virtual void CvDTreeTrainData::write_params ( CvFileStorage * fs ) const

virtual

Member Data Documentation

§ buf

CvMat* CvDTreeTrainData::buf

§ buf_count

int CvDTreeTrainData::buf_count

§ buf_size

int CvDTreeTrainData::buf_size

§ cat_count

CvMat* CvDTreeTrainData::cat_count

§ cat_map

CvMat* CvDTreeTrainData::cat_map

§ cat_ofs

CvMat* CvDTreeTrainData::cat_ofs

§ cat_var_count

int CvDTreeTrainData::cat_var_count

§ counts

CvMat* CvDTreeTrainData::counts

§ cv_heap

CvSet* CvDTreeTrainData::cv_heap

§ data_root

CvDTreeNode* CvDTreeTrainData::data_root

§ direction

CvMat* CvDTreeTrainData::direction

§ have_labels

bool CvDTreeTrainData::have_labels

§ have_priors

bool CvDTreeTrainData::have_priors

§ is_buf_16u

int CvDTreeTrainData::is_buf_16u

§ is_classifier

bool CvDTreeTrainData::is_classifier

§ max_c_count

int CvDTreeTrainData::max_c_count

§ node_heap

CvSet* CvDTreeTrainData::node_heap

§ nv_heap

CvSet* CvDTreeTrainData::nv_heap

§ ord_var_count

int CvDTreeTrainData::ord_var_count

§ params

CvDTreeParams CvDTreeTrainData::params

§ priors

CvMat* CvDTreeTrainData::priors

§ priors_mult

CvMat* CvDTreeTrainData::priors_mult

§ responses

const CvMat* CvDTreeTrainData::responses

§ responses_copy

CvMat* CvDTreeTrainData::responses_copy

§ rng

cv::RNG* CvDTreeTrainData::rng

§ sample_count

int CvDTreeTrainData::sample_count

§ shared

bool CvDTreeTrainData::shared

§ split_buf

CvMat* CvDTreeTrainData::split_buf

§ split_heap

CvSet* CvDTreeTrainData::split_heap

§ temp_storage

CvMemStorage* CvDTreeTrainData::temp_storage

§ tflag

int CvDTreeTrainData::tflag

§ train_data

const CvMat* CvDTreeTrainData::train_data

§ tree_storage

CvMemStorage* CvDTreeTrainData::tree_storage

§ var_all

int CvDTreeTrainData::var_all

§ var_count

int CvDTreeTrainData::var_count

§ var_idx

CvMat* CvDTreeTrainData::var_idx

§ var_type

CvMat* CvDTreeTrainData::var_type

§ work_var_count

int CvDTreeTrainData::work_var_count

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

ml/ml.hpp

Public Member Functions

Public Attributes

Constructor & Destructor Documentation

§ CvDTreeTrainData() [1/2]

§ CvDTreeTrainData() [2/2]

§ ~CvDTreeTrainData()

Member Function Documentation

§ clear()

§ do_responses_copy()

§ free_node()

§ free_node_data()

§ free_train_data()

§ get_cat_var_data()

§ get_child_buf_idx()

§ get_class_labels()

§ get_cv_labels()

§ get_length_subbuf()

§ get_num_classes()

§ get_ord_responses()

§ get_ord_var_data()

§ get_sample_indices()

§ get_var_type()

§ get_vectors()

§ get_work_var_count()

§ new_node()

§ new_split_cat()

§ new_split_ord()

§ read_params()

§ set_data()

§ set_params()

§ subsample_data()

§ write_params()

Member Data Documentation

§ buf

§ buf_count

§ buf_size

§ cat_count

§ cat_map

§ cat_ofs

§ cat_var_count

§ counts

§ cv_heap

§ data_root

§ direction

§ have_labels

§ have_priors

§ is_buf_16u

§ is_classifier

§ max_c_count

§ node_heap

§ nv_heap

§ ord_var_count

§ params

§ priors

§ priors_mult

§ responses

§ responses_copy

§ rng

§ sample_count

§ shared

§ split_buf

§ split_heap

§ temp_storage

§ tflag

§ train_data

§ tree_storage

§ var_all

§ var_count

§ var_idx

§ var_type

§ work_var_count