xgboost::gbm::GBLinearModel Class Reference

Inheritance diagram for xgboost::gbm::GBLinearModel:

Public Member Functions
	GBLinearModel (LearnerModelParam const *learner_model_param)
void	Configure (Args const &)
void	LazyInitModel ()
void	SaveModel (Json *p_out) const override
	saves the model config to a JSON object
void	LoadModel (Json const &in) override
	load the model from a JSON object
void	Save (dmlc::Stream *fo) const
void	Load (dmlc::Stream *fi)
bst_float *	Bias ()
const bst_float *	Bias () const
bst_float *	operator[] (size_t i)
const bst_float *	operator[] (size_t i) const
std::vector< std::string >	DumpModel (const FeatureMap &, bool, std::string format) const

Data Fields
int32_t	num_boosted_rounds {0}
LearnerModelParam const *	learner_model_param
std::vector< bst_float >	weight

Member Function Documentation

LoadModel()

void xgboost::gbm::GBLinearModel::LoadModel ( Json const &  in )

overridevirtual

load the model from a JSON object

Parameters

in	JSON object where to load the model from

Implements xgboost::Model.

SaveModel()

void xgboost::gbm::GBLinearModel::SaveModel ( Json *  out ) const

overridevirtual

saves the model config to a JSON object

Parameters

out	JSON container where to save the model to

Implements xgboost::Model.

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

• External/xgboost/src/gbm/gblinear_model.h
• External/xgboost/src/gbm/gblinear_model.cc