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Uses of Strategy in org.encog.ml.ea.train.basic |
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Methods in org.encog.ml.ea.train.basic that return types with arguments of type Strategy | |
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List<Strategy> |
TrainEA.getStrategies()
Returns an empty list, strategies are not supported. |
Methods in org.encog.ml.ea.train.basic with parameters of type Strategy | |
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void |
TrainEA.addStrategy(Strategy strategy)
Not supported, will throw an error. |
Uses of Strategy in org.encog.ml.hmm.train.bw |
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Methods in org.encog.ml.hmm.train.bw that return types with arguments of type Strategy | |
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List<Strategy> |
BaseBaumWelch.getStrategies()
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Methods in org.encog.ml.hmm.train.bw with parameters of type Strategy | |
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void |
BaseBaumWelch.addStrategy(Strategy strategy)
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Uses of Strategy in org.encog.ml.hmm.train.kmeans |
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Methods in org.encog.ml.hmm.train.kmeans that return types with arguments of type Strategy | |
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List<Strategy> |
TrainKMeans.getStrategies()
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Methods in org.encog.ml.hmm.train.kmeans with parameters of type Strategy | |
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void |
TrainKMeans.addStrategy(Strategy strategy)
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Uses of Strategy in org.encog.ml.train |
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Methods in org.encog.ml.train that return types with arguments of type Strategy | |
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List<Strategy> |
BasicTraining.getStrategies()
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List<Strategy> |
MLTrain.getStrategies()
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Methods in org.encog.ml.train with parameters of type Strategy | |
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void |
BasicTraining.addStrategy(Strategy strategy)
Training strategies can be added to improve the training results. |
void |
MLTrain.addStrategy(Strategy strategy)
Training strategies can be added to improve the training results. |
Uses of Strategy in org.encog.ml.train.strategy |
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Classes in org.encog.ml.train.strategy that implement Strategy | |
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class |
Greedy
A simple greedy strategy. |
class |
HybridStrategy
A hybrid stragey allows a secondary training algorithm to be used. |
class |
RequiredImprovementStrategy
The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles. |
class |
ResetStrategy
The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles. |
class |
StopTrainingStrategy
This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles. |
Uses of Strategy in org.encog.ml.train.strategy.end |
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Subinterfaces of Strategy in org.encog.ml.train.strategy.end | |
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interface |
EndTrainingStrategy
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Classes in org.encog.ml.train.strategy.end that implement Strategy | |
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class |
EarlyStoppingStrategy
Stop early when validation set no longer improves. |
class |
EndIterationsStrategy
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class |
EndMaxErrorStrategy
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class |
EndMinutesStrategy
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Uses of Strategy in org.encog.neural.networks.training.concurrent.jobs |
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Methods in org.encog.neural.networks.training.concurrent.jobs that return types with arguments of type Strategy | |
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List<Strategy> |
TrainingJob.getStrategies()
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Uses of Strategy in org.encog.neural.networks.training.strategy |
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Classes in org.encog.neural.networks.training.strategy that implement Strategy | |
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class |
RegularizationStrategy
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class |
SmartLearningRate
Attempt to automatically set the learning rate in a learning method that supports a learning rate. |
class |
SmartMomentum
Attempt to automatically set a momentum in a training algorithm that supports momentum. |
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