xgboost
Public Member Functions | Public Attributes | List of all members
xgboost::LearnerModelParam Struct Reference

#include <learner.h>

Collaboration diagram for xgboost::LearnerModelParam:
Collaboration graph

Public Member Functions

 LearnerModelParam ()=default
 
 LearnerModelParam (LearnerModelParamLegacy const &user_param, float base_margin, ObjInfo t)
 
bool Initialized () const
 

Public Attributes

bst_float base_score { 0.5f }
 
uint32_t num_feature { 0 }
 
uint32_t num_output_group { 0 }
 
ObjInfo task {ObjInfo::kRegression}
 

Constructor & Destructor Documentation

◆ LearnerModelParam() [1/2]

xgboost::LearnerModelParam::LearnerModelParam ( )
default

◆ LearnerModelParam() [2/2]

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

Member Function Documentation

◆ Initialized()

bool xgboost::LearnerModelParam::Initialized ( ) const
inline

Member Data Documentation

◆ base_score

bst_float xgboost::LearnerModelParam::base_score { 0.5f }

◆ 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}

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