xgboost::LearnerModelParam 结构体参考

基本模型参数，用于描述 booster。更多...

#include <learner.h>

xgboost::LearnerModelParam 的协作图

公有成员函数
	LearnerModelParam ()=default
	LearnerModelParam (Context const *ctx, LearnerModelParamLegacy const &user_param, linalg::Tensor< float, 1 > base_margin, ObjInfo t, MultiStrategy multi_strategy)
	LearnerModelParam (LearnerModelParamLegacy const &user_param, ObjInfo t, MultiStrategy multi_strategy)
	LearnerModelParam (bst_feature_t n_features, linalg::Tensor< float, 1 > base_score, std::uint32_t n_groups, bst_target_t n_targets, MultiStrategy multi_strategy)
linalg::TensorView< float const, 1 >	BaseScore (Context const *ctx) const
linalg::TensorView< float const, 1 >	BaseScore (DeviceOrd device) const
void	Copy (LearnerModelParam const &that)
bool	IsVectorLeaf () const noexcept
bst_target_t	OutputLength () const noexcept
bst_target_t	LeafLength () const noexcept
bool	Initialized () const

公有属性
bst_feature_t	num_feature {0}
	特征数量。更多...
std::uint32_t	num_output_group {0}
	类别或目标数量。更多...
ObjInfo	task {ObjInfo::kRegression}
	当前任务，由目标函数确定。更多...
MultiStrategy	multi_strategy {MultiStrategy::kOneOutputPerTree}
	构建多目标模型的策略。更多...

详细描述

基本模型参数，用于描述 booster。

构造函数与析构函数文档

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,
		MultiStrategy	multi_strategy
	)

LearnerModelParam() [3/4]

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

LearnerModelParam() [4/4]

xgboost::LearnerModelParam::LearnerModelParam ( bst_feature_t  n_features, linalg::Tensor< float, 1 >  base_score, std::uint32_t  n_groups, bst_target_t  n_targets, MultiStrategy  multi_strategy  )

inline

成员函数文档

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

(

DeviceOrd

device

)

const

Copy()

void xgboost::LearnerModelParam::Copy

(

LearnerModelParam const &

that

)

Initialized()

bool xgboost::LearnerModelParam::Initialized ( ) const

inline

IsVectorLeaf()

bool xgboost::LearnerModelParam::IsVectorLeaf ( ) const

inlinenoexcept

LeafLength()

bst_target_t xgboost::LearnerModelParam::LeafLength ( ) const

inlinenoexcept

OutputLength()

bst_target_t xgboost::LearnerModelParam::OutputLength ( ) const

inlinenoexcept

成员数据文档

multi_strategy

MultiStrategy xgboost::LearnerModelParam::multi_strategy {MultiStrategy::kOneOutputPerTree}

构建多目标模型的策略。

num_feature

bst_feature_t xgboost::LearnerModelParam::num_feature {0}

特征数量。

num_output_group

std::uint32_t xgboost::LearnerModelParam::num_output_group {0}

类别或目标数量。

task

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

当前任务，由目标函数确定。

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此结构体的文档生成自以下文件

• /home/docs/checkouts/readthedocs.org/user_builds/xgboost/checkouts/release_3.0.0/include/xgboost/learner.h