org.encog.neural.som.training.clustercopy

Class SOMClusterCopyTraining

java.lang.Object

org.encog.ml.train.BasicTraining

org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining

All Implemented Interfaces:

MLTrain

public class SOMClusterCopyTraining
extends BasicTraining

SOM cluster copy is a very simple trainer for SOM's. Using this trainer all of the training data is copied to the SOM weights. This can provide a functional SOM, or can be used as a starting point for training. For now, this trainer will only work if you have equal or fewer training elements to the number of output neurons. Eventually I hope to expand this by using KMeans clustering.

Constructor Summary

Constructors

Constructor and Description
SOMClusterCopyTraining(SOM network, MLDataSet training) Construct the object.

Method Summary

Modifier and Type	Method and Description
boolean	canContinue()
MLMethod	getMethod() Get the current best machine learning method from the training.
boolean	isTrainingDone()
void	iteration() Perform one iteration of training.
TrainingContinuation	pause() Pause the training to continue later.
void	resume(TrainingContinuation state) Resume training.

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

addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, iteration, postIteration, preIteration, setError, setIteration, setTraining

Methods inherited from class java.lang.Object

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

Constructor Detail

SOMClusterCopyTraining

public SOMClusterCopyTraining(SOM network,
                              MLDataSet training)

Construct the object.

Parameters:

network - The network to train.

training - The training data.

Method Detail

canContinue

public final boolean canContinue()

Returns:

True if the training can be paused, and later continued.

isTrainingDone

public boolean isTrainingDone()

Specified by:

isTrainingDone in interface MLTrain

Overrides:

isTrainingDone in class BasicTraining

Returns:

True if training can progress no further.

getMethod

public final MLMethod getMethod()

Get the current best machine learning method from the training.

Returns:

The best machine learning method.

iteration

public void iteration()

Perform one iteration of training.

pause

public TrainingContinuation pause()

Pause the training to continue later.

Returns:

A training continuation object.

resume

public void resume(TrainingContinuation state)

Resume training.

Parameters:

state - The training continuation object to use to continue.