• 홈
• LightGBMNet
• Train
• Booster

C# 클래스 LightGBMNet.Train.Booster

파일 보기 프로젝트 열기: rca22/LightGBM.Net 1 사용 예제들

Private Properties

프로퍼티	타입	설명
Booster	System
Eval	double
GetDefaultValue	double[]
GetHasMissing	bool
GetIsCategoricalSplit	bool
GetIsDefaultLeft	bool
GetModel	System
GetModelJSON	string
NextDown	double
NextUp	double
Str2DoubleArray	double[]
Str2IntArray	int[]
Str2UIntArray	uint[]

공개 메소드들

메소드	설명
Booster ( Parameters parameters, LightGBMNet.Train.Dataset trainset, LightGBMNet.Train.Dataset validset = null ) : System
CalcNumPredict ( int numRow, PredictType predType, int numIteration ) : long
Clone ( ) : Booster	Clones the Booster object
Dispose ( ) : void
EvalTrain ( ) : double
EvalValid ( ) : double
FromFile ( string fileName ) : Booster
FromString ( string model ) : Booster
GetFeatureImportance ( int numIteration, ImportanceType importanceType ) : double[]
GetLeafValue ( int treeIdx, int leafIdx ) : double
GetModelString ( ) : string
GetNumPredict ( int dataIdx ) : long
GetPredict ( int dataIdx ) : double[]
MergeWith ( Booster other ) : void
PredictForMat ( PredictType predictType, Array data, int startIteration, int numIteration ) : double[]
PredictForMats ( PredictType predictType, Array data, int startIteration, int numIteration, int numThreads ) : double[]
PredictForMatsMulti ( PredictType predictType, Array data, int startIteration, int numIteration ) : ].double[
Refit ( ].int[ leafPreds ) : void
ResetParameter ( Parameters pms ) : void
ResetTrainingData ( Dataset trainset ) : void
RollbackOneIter ( ) : void
SaveModel ( int startIteration, int numIteration, string fileName ) : void
SetLeafValue ( int treeIdx, int leafIdx, double val ) : void
SetLearningRate ( double learningRate ) : void
ShuffleModels ( ) : void
Update ( ) : bool
UpdateCustom ( Array grad, Array hess ) : bool

비공개 메소드들

메소드	설명
Booster ( IntPtr h, int bestIteration ) : System
Eval ( int dataIdx ) : double
GetDefaultValue ( Array threshold, Array decisionType ) : double[]
GetHasMissing ( uint decisionType ) : bool
GetIsCategoricalSplit ( uint decisionType ) : bool
GetIsDefaultLeft ( uint decisionType ) : bool
GetModel ( ) : System
GetModelJSON ( int startIteration, int numIteration ) : string
NextDown ( double x ) : double
NextUp ( double x ) : double
Str2DoubleArray ( string str, Array delimiters ) : double[]
Str2IntArray ( string str, Array delimiters ) : int[]
Str2UIntArray ( string str, Array delimiters ) : uint[]

메소드 상세