org.encog.neural.networks.training.nm
public class NelderMeadTraining extends BasicTraining
Constructor and Description |
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NelderMeadTraining(BasicNetwork network,
MLDataSet training)
Construct a Nelder Mead trainer with a step size of 100.
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NelderMeadTraining(BasicNetwork network,
MLDataSet training,
double stepValue)
Construct a Nelder Mead trainer with a definable step.
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Modifier and Type | Method and Description |
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boolean |
canContinue() |
double |
fn(double[] weights)
Calculate the error for the neural network with a given set of weights.
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MLMethod |
getMethod()
Get the current best machine learning method from the training.
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boolean |
isTrainingDone() |
void |
iteration()
Perform one iteration of training.
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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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addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, iteration, postIteration, preIteration, setError, setIteration, setTraining
public NelderMeadTraining(BasicNetwork network, MLDataSet training)
network
- The network to train.training
- The training set to use.public NelderMeadTraining(BasicNetwork network, MLDataSet training, double stepValue)
network
- The network to train.training
- The training data to use.stepValue
- The step value. This value defines, to some degree the range
of different weights that will be tried.public boolean canContinue()
public double fn(double[] weights)
weights
- The weights to use.public MLMethod getMethod()
public boolean isTrainingDone()
isTrainingDone
in interface MLTrain
isTrainingDone
in class BasicTraining
public void iteration()
public TrainingContinuation pause()
public void resume(TrainingContinuation state)
state
- The training continuation object to use to continue.Copyright © 2014. All Rights Reserved.