xgboost::LearnerModelParam Struct Reference

#include <learner.h>

Collaboration diagram for xgboost::LearnerModelParam:

Public Member Functions
	LearnerModelParam ()=default
	LearnerModelParam (Context const *ctx, LearnerModelParamLegacy const &user_param, linalg::Tensor< float, 1 > base_margin, ObjInfo t)
	LearnerModelParam (LearnerModelParamLegacy const &user_param, ObjInfo t)
	LearnerModelParam (bst_feature_t n_features, linalg::Tensor< float, 1 > base_margin, uint32_t n_groups)
linalg::TensorView< float const, 1 >	BaseScore (Context const *ctx) const
linalg::TensorView< float const, 1 >	BaseScore (int32_t device) const
void	Copy (LearnerModelParam const &that)
bool	Initialized () const

Public Attributes
uint32_t	num_feature { 0 }
uint32_t	num_output_group { 0 }
ObjInfo	task {ObjInfo::kRegression}

Constructor & Destructor Documentation

LearnerModelParam() [1/4]

xgboost::LearnerModelParam::LearnerModelParam ( )

default

LearnerModelParam() [2/4]

xgboost::LearnerModelParam::LearnerModelParam	(	Context const *	ctx,
		LearnerModelParamLegacy const &	user_param,
		linalg::Tensor< float, 1 >	base_margin,
		ObjInfo	t
	)

LearnerModelParam() [3/4]

xgboost::LearnerModelParam::LearnerModelParam	(	LearnerModelParamLegacy const &	user_param,
		ObjInfo	t
	)

LearnerModelParam() [4/4]

xgboost::LearnerModelParam::LearnerModelParam ( bst_feature_t  n_features, linalg::Tensor< float, 1 >  base_margin, uint32_t  n_groups  )

inline

Member Function Documentation

BaseScore() [1/2]

linalg::TensorView<float const, 1> xgboost::LearnerModelParam::BaseScore

(

Context const *

ctx

)

const

BaseScore() [2/2]

linalg::TensorView<float const, 1> xgboost::LearnerModelParam::BaseScore

(

int32_t

device

)

const

Copy()

void xgboost::LearnerModelParam::Copy

(

LearnerModelParam const &

that

)

Initialized()

bool xgboost::LearnerModelParam::Initialized ( ) const

inline

Member Data Documentation

num_feature

uint32_t xgboost::LearnerModelParam::num_feature { 0 }

num_output_group

uint32_t xgboost::LearnerModelParam::num_output_group { 0 }

task

ObjInfo xgboost::LearnerModelParam::task {ObjInfo::kRegression}

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

• /home/docs/checkouts/readthedocs.org/user_builds/xgboost/checkouts/release_1.7.0/include/xgboost/learner.h