Inheritance diagram for LightGBM::RegressionFairLoss:

Public Member Functions
	RegressionFairLoss (const Config &config)

	RegressionFairLoss (const std::vector< std::string > &strs)

void	GetGradients (const double score, score_t gradients, score_t *hessians) const override
	calculating first order derivative of loss function

const char *	GetName () const override

bool	IsConstantHessian () const override

Public Member Functions inherited from LightGBM::RegressionL2loss
	RegressionL2loss (const Config &config)

	RegressionL2loss (const std::vector< std::string > &strs)

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

void	GetGradients (const double score, score_t gradients, score_t *hessians) const override
	calculating first order derivative of loss function

const char *	GetName () const override

void	ConvertOutput (const double input, double output) const override

std::string	ToString () const override

bool	IsConstantHessian () const override

double	BoostFromScore (int) const override

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

virtual bool	IsRenewTreeOutput () const

virtual double	RenewTreeOutput (double ori_output, const double , const data_size_t , const data_size_t *, data_size_t) const

virtual double	RenewTreeOutput (double ori_output, double, const data_size_t , const data_size_t , data_size_t) const

virtual bool	ClassNeedTrain (int) const

virtual bool	SkipEmptyClass () const

virtual int	NumModelPerIteration () const

virtual int	NumPredictOneRow () const

virtual bool	NeedAccuratePrediction () const
	The prediction should be accurate or not. True will disable early stopping for prediction.

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

	ObjectiveFunction (const ObjectiveFunction &)=delete
	Disable copy.

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

static LIGHTGBM_EXPORT ObjectiveFunction *	CreateObjectiveFunction (const std::string &str)
	Load objective function from string object.

Protected Attributes inherited from LightGBM::RegressionL2loss
bool	sqrt_

data_size_t	num_data_
	Number of data.

const label_t *	label_
	Pointer of label.

const label_t *	weights_
	Pointer of weights.

std::vector< label_t >	trans_label_

Member Function Documentation

◆ GetGradients()

void LightGBM::RegressionFairLoss::GetGradients	(	const double *	score,
		score_t *	gradients,
		score_t *	hessians
	)		const

inlineoverridevirtual

calculating first order derivative of loss function

Parameters

score prediction score in this round \gradients Output gradients \hessians Output hessians

Implements LightGBM::ObjectiveFunction.

◆ GetName()

const char * LightGBM::RegressionFairLoss::GetName ( ) const

inlineoverridevirtual

Implements LightGBM::ObjectiveFunction.

◆ IsConstantHessian()

bool LightGBM::RegressionFairLoss::IsConstantHessian ( ) const

inlineoverridevirtual

Reimplemented from LightGBM::ObjectiveFunction.

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

External/LightGBM_2.2.3/LightGBM-2.2.3/src/objective/regression_objective.hpp

Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ GetGradients()

◆ GetName()

◆ IsConstantHessian()