org.encog.neural.networks.training.simple
Class TrainAdaline

java.lang.Object
  extended by org.encog.ml.train.BasicTraining
      extended by org.encog.neural.networks.training.simple.TrainAdaline
All Implemented Interfaces:
MLTrain, LearningRate

public class TrainAdaline
extends BasicTraining
implements LearningRate

Train an ADALINE neural network.


Constructor Summary
TrainAdaline(BasicNetwork network, MLDataSet training, double learningRate)
          Construct an ADALINE trainer.
 
Method Summary
 boolean canContinue()
          
 double getLearningRate()
          
 MLMethod getMethod()
          Get the current best machine learning method from the training.
 void iteration()
          Perform one iteration of training.
 TrainingContinuation pause()
          Pause the training to continue later.
 void resume(TrainingContinuation state)
          Resume training.
 void setLearningRate(double rate)
          Set the learning rate.
 
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
 

Constructor Detail

TrainAdaline

public TrainAdaline(BasicNetwork network,
                    MLDataSet training,
                    double learningRate)
Construct an ADALINE trainer.

Parameters:
network - The network to train.
training - The training data.
learningRate - The learning rate.
Method Detail

canContinue

public boolean canContinue()

Specified by:
canContinue in interface MLTrain
Returns:
True if the training can be paused, and later continued.

getLearningRate

public double getLearningRate()

Specified by:
getLearningRate in interface LearningRate
Returns:
The learning rate.

getMethod

public MLMethod getMethod()
Get the current best machine learning method from the training.

Specified by:
getMethod in interface MLTrain
Returns:
The best machine learningm method.

iteration

public void iteration()
Perform one iteration of training.

Specified by:
iteration in interface MLTrain

pause

public TrainingContinuation pause()
Pause the training to continue later.

Specified by:
pause in interface MLTrain
Returns:
A training continuation object.

resume

public void resume(TrainingContinuation state)
Resume training.

Specified by:
resume in interface MLTrain
Parameters:
state - The training continuation object to use to continue.

setLearningRate

public void setLearningRate(double rate)
Set the learning rate.

Specified by:
setLearningRate in interface LearningRate
Parameters:
rate - The new learning rate.


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