Class SupervisedHyperparameters.LearningRateMultiplier
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public final class SupervisedHyperparameters.LearningRateMultiplierScaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
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Nested Class Summary
Nested Classes Modifier and Type Class Description public interfaceSupervisedHyperparameters.LearningRateMultiplier.VisitorAn interface that defines how to map each variant of LearningRateMultiplier to a value of type T.
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Method Summary
Modifier and Type Method Description final Optional<JsonValue>auto()final Optional<Double>number()final BooleanisAuto()final BooleanisNumber()final JsonValueasAuto()final DoubleasNumber()final Optional<JsonValue>_json()final <T extends Any> Taccept(SupervisedHyperparameters.LearningRateMultiplier.Visitor<T> visitor)final SupervisedHyperparameters.LearningRateMultipliervalidate()final BooleanisValid()Booleanequals(Object other)IntegerhashCode()StringtoString()final static SupervisedHyperparameters.LearningRateMultiplierofAuto()final static SupervisedHyperparameters.LearningRateMultiplierofNumber(Double number)-
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Method Detail
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accept
final <T extends Any> T accept(SupervisedHyperparameters.LearningRateMultiplier.Visitor<T> visitor)
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validate
final SupervisedHyperparameters.LearningRateMultiplier validate()
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ofAuto
final static SupervisedHyperparameters.LearningRateMultiplier ofAuto()
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ofNumber
final static SupervisedHyperparameters.LearningRateMultiplier ofNumber(Double number)
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