#include <ml.hpp>

Inheritance diagram for CvERTreeTrainData:

Public Member Functions
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	get_ord_var_data (CvDTreeNode n, int vi, float ord_values_buf, int missing_buf, const float ord_values, const int missing, int sample_buf=0)

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

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

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

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)

Public Member Functions inherited from 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 ()

virtual void	do_responses_copy ()

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 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
const CvMat *	missing_mask

Public Attributes inherited from CvDTreeTrainData
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

Member Function Documentation

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

virtual

Reimplemented from CvDTreeTrainData.

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

virtual

Reimplemented from CvDTreeTrainData.

virtual void CvERTreeTrainData::get_ord_var_data	(	CvDTreeNode *	n,
		int	vi,
		float *	ord_values_buf,
		int *	missing_buf,
		const float **	ord_values,
		const int **	missing,
		int *	sample_buf = `0`
	)

virtual

Reimplemented from CvDTreeTrainData.

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

virtual

Reimplemented from CvDTreeTrainData.

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

virtual

Reimplemented from CvDTreeTrainData.

virtual void CvERTreeTrainData::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 from CvDTreeTrainData.

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

virtual

Reimplemented from CvDTreeTrainData.

Member Data Documentation

const CvMat* CvERTreeTrainData::missing_mask

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

ml/ml.hpp

Public Member Functions

Public Attributes

Member Function Documentation

Member Data Documentation