Inheritance diagram for LightGBM::KullbackLeiblerDivergence:

Public Member Functions
	KullbackLeiblerDivergence (const Config &)

void	Init (const Metadata &metadata, data_size_t num_data) override
	Initialize.

std::vector< double >	Eval (const double score, const ObjectiveFunction objective) const override
	Calcaluting and printing metric result.

const std::vector< std::string > &	GetName () const override

double	factor_to_bigger_better () const override

Public Member Functions inherited from LightGBM::Metric
virtual	~Metric ()
	virtual destructor

Metric &	operator= (const Metric &)=delete
	Disable copy.

	Metric (const Metric &)=delete
	Disable copy.

Additional Inherited Members
Static Public Member Functions inherited from LightGBM::Metric
static LIGHTGBM_EXPORT Metric *	CreateMetric (const std::string &type, const Config &config)
	Create object of metrics.

Member Function Documentation

◆ Eval()

std::vector< double > LightGBM::KullbackLeiblerDivergence::Eval	(	const double *	score,
		const ObjectiveFunction *	objective
	)		const

inlineoverridevirtual

Calcaluting and printing metric result.

Parameters

score Current prediction score

double LightGBM::KullbackLeiblerDivergence::factor_to_bigger_better ( ) const

inlineoverridevirtual

const std::vector< std::string > & LightGBM::KullbackLeiblerDivergence::GetName ( ) const

inlineoverridevirtual

void LightGBM::KullbackLeiblerDivergence::Init	(	const Metadata &	metadata,
		data_size_t	num_data
	)

inlineoverridevirtual

Initialize.

Parameters

test_name	Specific name for this metric, will output on log
metadata	Label data
num_data	Number of data

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