Objective function for multiclass classification, use one-vs-all binary objective function. More...

Inheritance diagram for LightGBM::MulticlassOVA:

Public Member Functions
	MulticlassOVA (const Config &config)

	MulticlassOVA (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	SkipEmptyClass () const override

int	NumModelPerIteration () const override

int	NumPredictOneRow () const override

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

double	BoostFromScore (int class_id) const override

bool	ClassNeedTrain (int class_id) const override

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

virtual bool	IsConstantHessian () const

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

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.