|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Objectorg.encog.ml.train.BasicTraining
org.encog.neural.networks.training.cross.CrossTraining
org.encog.neural.networks.training.cross.CrossValidationKFold
public class CrossValidationKFold
Train using K-Fold cross validation. Each iteration will train a number of times equal to the number of folds - 1. Each of these sub iterations will train all of the data minus the fold. The fold is used to validate. Therefore, you are seeing an error that reflects data that was not always used as part of training. This should give you a better error result based on how the network will perform on non-trained data.(validation). The cross validation trainer must be provided with some other sort of trainer, perhaps RPROP, to actually perform the training. The training data must be the FoldedDataSet. The folded dataset can wrap most other training sets.
Constructor Summary | |
---|---|
CrossValidationKFold(MLTrain train,
int k)
Construct a cross validation trainer. |
Method Summary | |
---|---|
boolean |
canContinue()
|
void |
iteration()
Perform one iteration. |
TrainingContinuation |
pause()
Pause the training to continue later. |
void |
resume(TrainingContinuation state)
Resume training. |
Methods inherited from class org.encog.neural.networks.training.cross.CrossTraining |
---|
getFolded, getMethod |
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 |
---|
public CrossValidationKFold(MLTrain train, int k)
train
- The trainingk
- The number of folds.Method Detail |
---|
public void iteration()
public boolean canContinue()
public TrainingContinuation pause()
public void resume(TrainingContinuation state)
state
- The training continuation object to use to continue.
|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |