C# 클래스 Encog.Normalize.Segregate.Index.IndexSegregator

The index segregator. An abstract class to build index based segregators off of. An index segregator is used to segregate the data according to its index. Nothing about the data is actually compared. This makes the index range segregator very useful for breaking the data into training and validation sets. For example, you could very easily determine that 70% of the data is for training, and 30% for validation.

상속: ISegregator

파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 메소드들

메소드	설명
Init ( DataNormalization normalization ) : void	Setup this class with the specified normalization object.
PassInit ( ) : void	Init for pass... nothing to do fo this class.
RollIndex ( ) : void	Used to increase the current index as data is processed.
ShouldInclude ( ) : bool	Should this row be included, according to this segregator.

메소드 상세

Init() 공개 메소드

Setup this class with the specified normalization object.

public Init ( DataNormalization normalization ) : void
normalization	DataNormalization	Normalization object.
리턴	void

PassInit() 공개 메소드

Init for pass... nothing to do fo this class.

public PassInit ( ) : void
리턴	void

RollIndex() 공개 메소드

Used to increase the current index as data is processed.

public RollIndex ( ) : void
리턴	void

ShouldInclude() 공개 추상적인 메소드

Should this row be included, according to this segregator.

public abstract ShouldInclude ( ) : bool
리턴	bool