org.encog.neural.networks.training.cross
Class NetworkFold

java.lang.Object
  org.encog.neural.networks.training.cross.NetworkFold

public class NetworkFold
extends Object

The network for one fold of a cross validation.

Constructor Summary

NetworkFold(FlatNetwork flat)
Construct a fold from the specified flat network.

Method Summary

void	copyFromNetwork(FlatNetwork source) Copy the weights and output from the network.
void	copyToNetwork(FlatNetwork target) Copy weights and output to the network.
double[]	getOutput()
double[]	getWeights()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NetworkFold

public NetworkFold(FlatNetwork flat)

Construct a fold from the specified flat network.

Parameters:

flat - THe flat network.

Method Detail

copyToNetwork

public final void copyToNetwork(FlatNetwork target)

Copy weights and output to the network.

Parameters:

target - The network to copy to.

copyFromNetwork

public final void copyFromNetwork(FlatNetwork source)

Copy the weights and output from the network.

Parameters:

source - The network to copy from.

getWeights

public final double[] getWeights()

Returns:

The network weights.

getOutput

public final double[] getOutput()

Returns:

The network output.