org.encog.engine.data
Interface EngineData

All Known Subinterfaces:

NeuralDataPair

All Known Implementing Classes:

BasicEngineData, BasicNeuralDataPair

public interface EngineData

Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training. For unsupervised training just an input value is provided, and the ideal output values are null. For supervised training both input and the expected ideal outputs are provided. This interface abstracts classes that provide a holder for both of these two data items.

Author:

jheaton

Method Summary

double[]	getIdealArray()
double[]	getInputArray()
boolean	isSupervised()
void	setIdealArray(double[] data) Set the ideal data, the desired output.
void	setInputArray(double[] data) Set the input.

Method Detail

getIdealArray

double[] getIdealArray()

Returns:

The ideal data that the neural network should produce for the specified input.

getInputArray

double[] getInputArray()

Returns:

The input that the neural network

setIdealArray

void setIdealArray(double[] data)

Set the ideal data, the desired output.

Parameters:

data - The ideal data.

setInputArray

void setInputArray(double[] data)

Set the input.

Parameters:

data - The input.

isSupervised

boolean isSupervised()

Returns:

True if this training pair is supervised. That is, it has both input and ideal data.