Package | Description |
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org.deeplearning4j.earlystopping |
Modifier and Type | Method and Description |
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EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.epochTerminationConditions(EpochTerminationCondition... terminationConditions)
Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
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EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.epochTerminationConditions(List<EpochTerminationCondition> terminationConditions)
Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
|
EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.evaluateEveryNEpochs(int everyNEpochs)
How frequently should evaluations be conducted (in terms of epochs)? Defaults to every (1) epochs.
|
EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.iterationTerminationConditions(IterationTerminationCondition... terminationConditions)
Termination conditions to be evaluated every iteration (minibatch)
|
EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.modelSaver(EarlyStoppingModelSaver<T> modelSaver)
How should models be saved? (Default: in memory)
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EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.saveLastModel(boolean saveLastModel)
Save the last model? If true: save the most recent model at each epoch, in addition to the best
model (whenever the best model improves).
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EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.scoreCalculator(ScoreCalculator scoreCalculator)
Score calculator.
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EarlyStoppingConfiguration.Builder<T> |
EarlyStoppingConfiguration.Builder.scoreCalculator(org.nd4j.linalg.function.Supplier<ScoreCalculator> scoreCalculatorSupplier)
Score calculator.
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