RTNode Class Reference

#include <rtnode.h>

Public Member Functions
	RTNode (double prediction)
	RTNode (size_t *new_sampleids, size_t new_nsampleids, double prediction)
	RTNode (float new_threshold, size_t new_featureidx, size_t new_featureid, RTNode *new_left, RTNode *new_right)
	RTNode (size_t *new_sampleids, RTNodeHistogram *new_hist)
	~RTNode ()
void	set_feature (size_t fidx, size_t fid)
size_t	get_feature_id ()
size_t	get_feature_idx ()
void	save_leaves (RTNode **&leaves, size_t &nleaves, size_t &capacity)
bool	is_leaf () const
quickrank::Score	score_instance (const quickrank::Feature *d, const size_t next_fx_offset) const
pugi::xml_node	append_xml_model (pugi::xml_node parent, const std::string &pos="") const

Static Public Member Functions
static RTNode *	parse_xml (const pugi::xml_node &split_xml)

Public Attributes
size_t *	sampleids = NULL
size_t	nsampleids = 0
float	threshold = 0.0f
double	deviance = 0.0
double	avglabel = 0.0
RTNode *	left = NULL
RTNode *	right = NULL
RTNodeHistogram *	hist = NULL

Private Attributes
size_t	featureidx = uint_max
size_t	featureid = uint_max

Constructor & Destructor Documentation

RTNode::RTNode ( double  prediction )

inline

RTNode::RTNode ( size_t *  new_sampleids, size_t  new_nsampleids, double  prediction  )

inline

RTNode::RTNode ( float  new_threshold, size_t  new_featureidx, size_t  new_featureid, RTNode *  new_left, RTNode *  new_right  )

inline

RTNode::RTNode ( size_t *  new_sampleids, RTNodeHistogram *  new_hist  )

inline

RTNode::~RTNode ( )

inline

Member Function Documentation

pugi::xml_node RTNode::append_xml_model	(	pugi::xml_node	parent,
		const std::string &	pos = ""
	)		const

size_t RTNode::get_feature_id ( )

inline

size_t RTNode::get_feature_idx ( )

inline

bool RTNode::is_leaf ( ) const

inline

RTNode * RTNode::parse_xml ( const pugi::xml_node &  split_xml )

static

Todo:

TODO: this should be changed with item mapping

void RTNode::save_leaves	(	RTNode **&	leaves,
		size_t &	nleaves,
		size_t &	capacity
	)

quickrank::Score RTNode::score_instance ( const quickrank::Feature *  d, const size_t  next_fx_offset  ) const

inline

void RTNode::set_feature ( size_t  fidx, size_t  fid  )

inline

Member Data Documentation

double RTNode::avglabel = 0.0

double RTNode::deviance = 0.0

size_t RTNode::featureid = uint_max

private

size_t RTNode::featureidx = uint_max

private

RTNodeHistogram* RTNode::hist = NULL

RTNode* RTNode::left = NULL

size_t RTNode::nsampleids = 0

RTNode* RTNode::right = NULL

size_t* RTNode::sampleids = NULL

float RTNode::threshold = 0.0f

---

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

• include/learning/tree/rtnode.h
• src/learning/tree/rtnode.cc