org.encog.neural.networks.training.concurrent.jobs

Class TrainingJob

java.lang.Object

org.encog.neural.networks.training.concurrent.jobs.TrainingJob

Direct Known Subclasses:

BPROPJob, RPROPJob

public abstract class TrainingJob
extends java.lang.Object

Base class for all concurrent training jobs.

Constructor Summary

Constructors

Constructor and Description
TrainingJob(BasicNetwork network, MLDataSet training, boolean loadToMemory) Construct a training job.

Method Summary

Modifier and Type	Method and Description
abstract void	createTrainer(boolean singleThreaded) Create a trainer to use.
java.lang.Throwable	getError()
BasicNetwork	getNetwork()
java.util.List<Strategy>	getStrategies()
MLTrain	getTrain()
MLDataSet	getTraining()
boolean	isLoadToMemory()
void	setError(java.lang.Throwable error)
void	setLoadToMemory(boolean loadToMemory)
void	setNetwork(BasicNetwork network)
void	setTrain(MLTrain train)
void	setTraining(MLDataSet training)
boolean	shouldContinue()

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingJob

public TrainingJob(BasicNetwork network,
                   MLDataSet training,
                   boolean loadToMemory)

Construct a training job.

Parameters:

network - The network to train.

training - The training data to use.

loadToMemory - True, if binary data should be loaded to memory.

Method Detail

createTrainer

public abstract void createTrainer(boolean singleThreaded)

Create a trainer to use.

Parameters:

singleThreaded - Whether training is single threaded

getError

public java.lang.Throwable getError()

Returns:

the error

getNetwork

public BasicNetwork getNetwork()

Returns:

the network

getStrategies

public java.util.List<Strategy> getStrategies()

Returns:

the strategies

getTrain

public MLTrain getTrain()

Returns:

the train

getTraining

public MLDataSet getTraining()

Returns:

the training

isLoadToMemory

public boolean isLoadToMemory()

Returns:

the loadToMemory

setError

public void setError(java.lang.Throwable error)

Parameters:

error - the error to set

setLoadToMemory

public void setLoadToMemory(boolean loadToMemory)

Parameters:

loadToMemory - the loadToMemory to set

setNetwork

public void setNetwork(BasicNetwork network)

Parameters:

network - the network to set

setTrain

public void setTrain(MLTrain train)

Parameters:

train - the train to set

setTraining

public void setTraining(MLDataSet training)

Parameters:

training - the training to set

shouldContinue

public boolean shouldContinue()

Returns:

True, if training should continue.