org.encog.neural.networks.training.cross
public class CrossValidationKFold extends CrossTraining
Constructor and Description |
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CrossValidationKFold(MLTrain train,
int k)
Construct a cross validation trainer.
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Modifier and Type | Method and Description |
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boolean |
canContinue() |
void |
iteration()
Perform one iteration.
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TrainingContinuation |
pause()
Pause the training to continue later.
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void |
resume(TrainingContinuation state)
Resume training.
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getFolded, getMethod
addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, setError, setIteration, setTraining
public CrossValidationKFold(MLTrain train, int k)
train
- The trainingk
- The number of folds.public void iteration()
public boolean canContinue()
public TrainingContinuation pause()
public void resume(TrainingContinuation state)
state
- The training continuation object to use to continue.Copyright © 2014. All Rights Reserved.