org.encog.neural.networks.training.cross

Class CrossTraining

java.lang.Object

org.encog.ml.train.BasicTraining

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

All Implemented Interfaces:

MLTrain

Direct Known Subclasses:

CrossValidationKFold

public abstract class CrossTraining
extends BasicTraining

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

Constructor Summary

Constructors

Constructor and Description
CrossTraining(MLMethod network, FoldedDataSet training) Construct a cross trainer.

Method Summary

Methods

Modifier and Type	Method and Description
FoldedDataSet	getFolded()
MLMethod	getMethod() Get the current best machine learning method from the training.

Methods inherited from class org.encog.ml.train.BasicTraining

addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, 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.ml.train.MLTrain

canContinue, iteration, pause, resume

Constructor Detail

CrossTraining

public CrossTraining(MLMethod 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.

getMethod

public MLMethod getMethod()

Get the current best machine learning method from the training.

Returns:

The best machine learningm method.