LightGBM::RegressionQuantileloss Class Reference

Inheritance diagram for LightGBM::RegressionQuantileloss:

Public Member Functions
	RegressionQuantileloss (const Config &config)
	RegressionQuantileloss (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
double	BoostFromScore (int) const override
bool	IsRenewTreeOutput () const override
double	RenewTreeOutput (double, const double *pred, const data_size_t *index_mapper, const data_size_t *bagging_mapper, data_size_t num_data_in_leaf) const override
double	RenewTreeOutput (double, double pred, const data_size_t *index_mapper, const data_size_t *bagging_mapper, data_size_t num_data_in_leaf) 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	ConvertOutput (const double *input, double *output) const override
std::string	ToString () const override
bool	IsConstantHessian () const override
Public Member Functions inherited from LightGBM::ObjectiveFunction
virtual	~ObjectiveFunction ()
	virtual destructor
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

BoostFromScore()

double LightGBM::RegressionQuantileloss::BoostFromScore ( int  ) const

inlineoverridevirtual

Reimplemented from LightGBM::RegressionL2loss.

GetGradients()

void LightGBM::RegressionQuantileloss::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

Reimplemented from LightGBM::RegressionL2loss.

GetName()

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

inlineoverridevirtual

Reimplemented from LightGBM::RegressionL2loss.

IsRenewTreeOutput()

bool LightGBM::RegressionQuantileloss::IsRenewTreeOutput ( ) const

inlineoverridevirtual

Reimplemented from LightGBM::ObjectiveFunction.

RenewTreeOutput() [1/2]

double LightGBM::RegressionQuantileloss::RenewTreeOutput ( double  , const double *  pred, const data_size_t *  index_mapper, const data_size_t *  bagging_mapper, data_size_t  num_data_in_leaf  ) const

inlineoverridevirtual

Reimplemented from LightGBM::ObjectiveFunction.

RenewTreeOutput() [2/2]

double LightGBM::RegressionQuantileloss::RenewTreeOutput ( double  , double  pred, const data_size_t *  index_mapper, const data_size_t *  bagging_mapper, data_size_t  num_data_in_leaf  ) const

inlineoverridevirtual

Reimplemented from LightGBM::ObjectiveFunction.

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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/objective/regression_objective.hpp