LightGBM::ScoreUpdater Class Reference

Used to store and update score for data. More...

#include <score_updater.hpp>

Public Member Functions
	ScoreUpdater (const Dataset *data, int num_tree_per_iteration)
	Constructor, will pass a const pointer of dataset.
	~ScoreUpdater ()
	Destructor.
bool	has_init_score () const
void	AddScore (double val, int cur_tree_id)
void	MultiplyScore (double val, int cur_tree_id)
void	AddScore (const Tree *tree, int cur_tree_id)
	Using tree model to get prediction number, then adding to scores for all data Note: this function generally will be used on validation data too.
void	AddScore (const TreeLearner *tree_learner, const Tree *tree, int cur_tree_id)
	Adding prediction score, only used for training data. The training data is partitioned into tree leaves after training Based on which We can get prediction quickly.
void	AddScore (const Tree *tree, const data_size_t *data_indices, data_size_t data_cnt, int cur_tree_id)
	Using tree model to get prediction number, then adding to scores for parts of data Used for prediction of training out-of-bag data.
const double *	score () const
	Pointer of score.
data_size_t	num_data () const
ScoreUpdater &	operator= (const ScoreUpdater &)=delete
	Disable copy.
	ScoreUpdater (const ScoreUpdater &)=delete
	Disable copy.

Detailed Description

Used to store and update score for data.

Constructor & Destructor Documentation

ScoreUpdater()

LightGBM::ScoreUpdater::ScoreUpdater ( const Dataset *  data, int  num_tree_per_iteration  )

inline

Constructor, will pass a const pointer of dataset.

Parameters

data	This class will bind with this data set

Member Function Documentation

AddScore() [1/3]

void LightGBM::ScoreUpdater::AddScore ( const Tree *  tree, const data_size_t *  data_indices, data_size_t  data_cnt, int  cur_tree_id  )

inline

Using tree model to get prediction number, then adding to scores for parts of data Used for prediction of training out-of-bag data.

Parameters

tree	Trained tree model
data_indices	Indices of data that will be processed
data_cnt	Number of data that will be processed
cur_tree_id	Current tree for multiclass training

AddScore() [2/3]

void LightGBM::ScoreUpdater::AddScore ( const Tree *  tree, int  cur_tree_id  )

inline

Using tree model to get prediction number, then adding to scores for all data Note: this function generally will be used on validation data too.

Parameters

tree	Trained tree model
cur_tree_id	Current tree for multiclass training

AddScore() [3/3]

void LightGBM::ScoreUpdater::AddScore ( const TreeLearner *  tree_learner, const Tree *  tree, int  cur_tree_id  )

inline

Adding prediction score, only used for training data. The training data is partitioned into tree leaves after training Based on which We can get prediction quickly.

Parameters

tree_learner
cur_tree_id	Current tree for multiclass training

---

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

• External/LightGBM_2.2.3/LightGBM-2.2.3/src/boosting/score_updater.hpp