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java.lang.Objectorg.encog.ml.train.BasicTraining
org.encog.neural.networks.training.simple.TrainAdaline
public class TrainAdaline
Train an ADALINE neural network.
Constructor Summary | |
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TrainAdaline(BasicNetwork network,
MLDataSet training,
double learningRate)
Construct an ADALINE trainer. |
Method Summary | |
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boolean |
canContinue()
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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 |
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addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, setError, setIteration, setTraining |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public TrainAdaline(BasicNetwork network, MLDataSet training, double learningRate)
network
- The network to train.training
- The training data.learningRate
- The learning rate.Method Detail |
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public boolean canContinue()
canContinue
in interface MLTrain
public double getLearningRate()
getLearningRate
in interface LearningRate
public MLMethod getMethod()
getMethod
in interface MLTrain
public void iteration()
iteration
in interface MLTrain
public TrainingContinuation pause()
pause
in interface MLTrain
public void resume(TrainingContinuation state)
resume
in interface MLTrain
state
- The training continuation object to use to continue.public void setLearningRate(double rate)
setLearningRate
in interface LearningRate
rate
- The new learning rate.
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