CvERTreeTrainData Struct Reference

#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

get_cat_var_data()

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

virtual

Reimplemented from CvDTreeTrainData.

get_cv_labels()

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

virtual

Reimplemented from CvDTreeTrainData.

get_ord_var_data()

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.

get_sample_indices()

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

virtual

Reimplemented from CvDTreeTrainData.

get_vectors()

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

virtual

Reimplemented from CvDTreeTrainData.

set_data()

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.

subsample_data()

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

virtual

Reimplemented from CvDTreeTrainData.

Member Data Documentation

missing_mask

const CvMat* CvERTreeTrainData::missing_mask

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

• ml/ml.hpp