Inheritance diagram for xgboost::obj::LambdaRankMAP:

Public Member Functions
void	GetGradientImpl (std::int32_t iter, const HostDeviceVector< float > &predt, const MetaInfo &info, HostDeviceVector< GradientPair > *out_gpair)

const char *	DefaultEvalMetric () const override

Public Member Functions inherited from xgboost::obj::LambdaRankObj< LambdaRankMAP, ltr::MAPCache >
void	Configure (Args const &args) override
	Configure the objective with the specified parameters.

void	SaveConfig (Json *p_out) const override
	Save configuration to JSON object.

void	LoadConfig (Json const &in) override
	Load configuration from JSON object.

ObjInfo	Task () const override
	Return task of this objective.

bst_target_t	Targets (MetaInfo const &info) const override
	Return number of targets for input matrix.

const char *	RankEvalMetric (StringView metric) const

void	GetGradient (HostDeviceVector< float > const &predt, MetaInfo const &info, std::int32_t iter, HostDeviceVector< GradientPair > *out_gpair) override

Public Member Functions inherited from xgboost::ObjFunction
	~ObjFunction () override=default
	virtual destructor

virtual void	GetGradient (const HostDeviceVector< bst_float > &preds, const MetaInfo &info, int iteration, HostDeviceVector< GradientPair > *out_gpair)=0
	Get gradient over each of predictions, given existing information.

virtual Json	DefaultMetricConfig () const
	Return the configuration for the default metric.

virtual void	PredTransform (HostDeviceVector< bst_float > *) const
	transform prediction values, this is only called when Prediction is called

virtual void	EvalTransform (HostDeviceVector< bst_float > *io_preds)
	transform prediction values, this is only called when Eval is called, usually it redirect to PredTransform

virtual bst_float	ProbToMargin (bst_float base_score) const
	transform probability value back to margin this is used to transform user-set base_score back to margin used by gradient boosting

virtual void	InitEstimation (MetaInfo const &info, linalg::Tensor< float, 1 > *base_score) const
	Make initialize estimation of prediction.

virtual void	UpdateTreeLeaf (HostDeviceVector< bst_node_t > const &, MetaInfo const &, float, HostDeviceVector< float > const &, std::int32_t, RegTree *) const
	Update the leaf values after a tree is built.

Static Public Member Functions
static char const *	Name ()

Static Public Member Functions inherited from xgboost::ObjFunction
static constexpr float	DefaultBaseScore ()

static ObjFunction *	Create (const std::string &name, Context const *ctx)
	Create an objective function according to name.

Additional Inherited Members
Protected Member Functions inherited from xgboost::obj::LambdaRankObj< LambdaRankMAP, ltr::MAPCache >
std::shared_ptr< ltr::MAPCache >	GetCache () const

linalg::VectorView< double >	GroupLoss (bst_group_t g, linalg::Vector< double > *v) const

void	CalcLambdaForGroup (std::int32_t iter, common::Span< float const > g_predt, linalg::VectorView< float const > g_label, float w, common::Span< std::size_t const > g_rank, bst_group_t g, Delta delta, common::Span< GradientPair > g_gpair)

Protected Attributes inherited from xgboost::obj::LambdaRankObj< LambdaRankMAP, ltr::MAPCache >
linalg::Vector< double >	li_

linalg::Vector< double >	lj_

linalg::Vector< double >	ti_plus_

linalg::Vector< double >	tj_minus_

linalg::Vector< double >	li_full_

linalg::Vector< double >	lj_full_

ltr::LambdaRankParam	param_

std::shared_ptr< ltr::RankingCache >	p_cache_

Protected Attributes inherited from xgboost::ObjFunction
Context const *	ctx_

Member Function Documentation

◆ DefaultEvalMetric()

const char * xgboost::obj::LambdaRankMAP::DefaultEvalMetric ( ) const

inlineoverridevirtual

Returns: the default evaluation metric for the objective

Implements xgboost::ObjFunction.

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

External/xgboost/src/objective/lambdarank_obj.cc

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ DefaultEvalMetric()