C# 클래스 Encog.Neural.Networks.Training.Cross.CrossValidationKFold

상속: CrossTraining

파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드	설명
CrossValidationKFold ( IMLTrain train, int k ) : Encog.ML.Data.Folded	Construct a cross validation trainer.
Iteration ( ) : void	Perform one iteration.
Pause ( ) : TrainingContinuation
Resume ( TrainingContinuation state ) : void

메소드 상세

CrossValidationKFold() 공개 메소드

Construct a cross validation trainer.

public CrossValidationKFold ( IMLTrain train, int k ) : Encog.ML.Data.Folded
train	IMLTrain	The training
k	int	The number of folds.
리턴	Encog.ML.Data.Folded

Iteration() 공개 메소드

Perform one iteration.

public Iteration ( ) : void
리턴	void

Pause() 공개 최종 메소드

public final Pause ( ) : TrainingContinuation
리턴	Encog.Neural.Networks.Training.Propagation.TrainingContinuation

Resume() 공개 최종 메소드

public final Resume ( TrainingContinuation state ) : void
state	Encog.Neural.Networks.Training.Propagation.TrainingContinuation
리턴	void