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

java.lang.Object
  org.encog.neural.networks.training.BasicTraining
      org.encog.neural.networks.training.cross.CrossTraining

All Implemented Interfaces:

Train

Direct Known Subclasses:

CrossValidationKFold

public abstract class CrossTraining
extends BasicTraining

Base class for cross training trainers. Must use a folded dataset.

Constructor Summary

CrossTraining(BasicNetwork network, FoldedDataSet training)
Construct a cross trainer.

Method Summary

FoldedDataSet	getFolded()
BasicNetwork	getNetwork() Get the current best network from the training.

Methods inherited from class org.encog.neural.networks.training.BasicTraining

addStrategy, finishTraining, getCloud, getError, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, setCloud, setError, setIteration, setTraining

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.encog.neural.networks.training.Train

iteration

Constructor Detail

CrossTraining

public CrossTraining(BasicNetwork network,
                     FoldedDataSet training)

Construct a cross trainer.

Parameters:

network - The network.

training - The training data.

Method Detail

getFolded

public FoldedDataSet getFolded()

Returns:

The folded training data.

getNetwork

public BasicNetwork getNetwork()

Description copied from interface: Train

Get the current best network from the training.

Returns:

The network.