C# 클래스 Encog.ML.Data.Image.ImageMLDataSet

상속: BasicMLDataSet

공개 메소드들

메소드	설명
Add ( IMLData data ) : void	Add the specified data, must be an ImageNeuralData class.
Add ( IMLData inputData, IMLData idealData ) : void	Add the specified input and ideal object to the collection.
Add ( IMLDataPair inputData ) : void	Add input and expected output. This is used for supervised training.
Downsample ( int height, int width ) : void	Downsample all images and generate training data.
ImageMLDataSet ( IDownSample downsampler, bool findBounds, double hi, double lo ) : System	Construct this class with the specified downsampler.

Add the specified data, must be an ImageNeuralData class.

Add the specified input and ideal object to the collection.

public Add ( IMLData inputData, IMLData idealData ) : void
inputData	IMLData	The image to train with.
idealData	IMLData	The expected otuput form this image.
리턴	void

Add input and expected output. This is used for supervised training.

public Add ( IMLDataPair inputData ) : void
inputData	IMLDataPair	The input data to train on.
리턴	void

Downsample all images and generate training data.

public Downsample ( int height, int width ) : void
height	int	The height to downsample to.
width	int	The width to downsample to.
리턴	void

Construct this class with the specified downsampler.

public ImageMLDataSet ( IDownSample downsampler, bool findBounds, double hi, double lo ) : System
downsampler	IDownSample	The downsampler to use.
findBounds	bool	Should the bounds be found and clipped.
hi	double	The high value to normalize to.
lo	double	The low value to normalize to.
리턴	System