Basic model parameters, used to describe the booster. More...

#include <learner.h>

Public Member Functions
	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 (std::int32_t 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

Data Fields
bst_feature_t	num_feature {0}
	The number of features.

std::uint32_t	num_output_group {0}
	The number of classes or targets.

ObjInfo	task {ObjInfo::kRegression}
	Current task, determined by objective.

MultiStrategy	multi_strategy {MultiStrategy::kOneOutputPerTree}
	Strategy for building multi-target models.

Detailed Description

Basic model parameters, used to describe the booster.

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

Public Member Functions