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

Inheritance: BasicMLDataSet
Afficher le fichier Open project: encog/encog-silverlight-core Class Usage Examples

Méthodes publiques

Méthode Description
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.

Method Details

Add() public méthode

Add the specified data, must be an ImageNeuralData class.
public Add ( IMLData data ) : void
data IMLData The data The object to add.
Résultat void

Add() public méthode

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.
Résultat void

Add() public méthode

Add input and expected output. This is used for supervised training.
public Add ( IMLDataPair inputData ) : void
inputData IMLDataPair The input data to train on.
Résultat void

Downsample() public méthode

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.
Résultat void

ImageMLDataSet() public méthode

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.
Résultat System