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

Inheritance: BasicMLDataSet
显示文件 Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method 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 method

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

Add() public method

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.
return void

Add() public method

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

Downsample() public method

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.
return void

ImageMLDataSet() public method

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.
return System