LightGBM::FeatureHistogram Class Reference

FeatureHistogram is used to construct and store a histogram for a feature. More...

#include <feature_histogram.hpp>

Public Member Functions
FeatureHistogram &	operator= (const FeatureHistogram &)=delete
	Disable copy.
	FeatureHistogram (const FeatureHistogram &)=delete
	Disable copy.
void	Init (HistogramBinEntry *data, const FeatureMetainfo *meta)
	Init the feature histogram.
HistogramBinEntry *	RawData ()
void	Subtract (const FeatureHistogram &other)
	Subtract current histograms with other.
void	FindBestThreshold (double sum_gradient, double sum_hessian, data_size_t num_data, double min_constraint, double max_constraint, SplitInfo *output)
void	FindBestThresholdNumerical (double sum_gradient, double sum_hessian, data_size_t num_data, double min_constraint, double max_constraint, SplitInfo *output)
void	FindBestThresholdCategorical (double sum_gradient, double sum_hessian, data_size_t num_data, double min_constraint, double max_constraint, SplitInfo *output)
void	GatherInfoForThreshold (double sum_gradient, double sum_hessian, uint32_t threshold, data_size_t num_data, SplitInfo *output)
void	GatherInfoForThresholdNumerical (double sum_gradient, double sum_hessian, uint32_t threshold, data_size_t num_data, SplitInfo *output)
void	GatherInfoForThresholdCategorical (double sum_gradient, double sum_hessian, uint32_t threshold, data_size_t num_data, SplitInfo *output)
int	SizeOfHistgram () const
	Binary size of this histogram.
void	FromMemory (char *memory_data)
	Restore histogram from memory.
bool	is_splittable ()
	True if this histogram can be splitted.
void	set_is_splittable (bool val)
	Set splittable to this histogram.

Static Public Member Functions
static double	ThresholdL1 (double s, double l1)
static double	CalculateSplittedLeafOutput (double sum_gradients, double sum_hessians, double l1, double l2, double max_delta_step)

Detailed Description

FeatureHistogram is used to construct and store a histogram for a feature.

Member Function Documentation

Init()

void LightGBM::FeatureHistogram::Init ( HistogramBinEntry *  data, const FeatureMetainfo *  meta  )

inline

Init the feature histogram.

Parameters

feature	the feature data for this histogram
min_num_data_one_leaf	minimal number of data in one leaf

Subtract()

void LightGBM::FeatureHistogram::Subtract ( const FeatureHistogram &  other )

inline

Subtract current histograms with other.

Parameters

other

The histogram that want to subtract

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

• External/LightGBM_2.2.3/LightGBM-2.2.3/src/treelearner/feature_histogram.hpp