Package com.openai.models
Class FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplier
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public final class FineTuningJob.Method.Supervised.Hyperparameters.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 interfaceFineTuningJob.Method.Supervised.Hyperparameters.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>manual()final BooleanisAuto()final BooleanisManual()final JsonValueasAuto()final DoubleasManual()final Optional<JsonValue>_json()final <T extends Any> Taccept(FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplier.Visitor<T> visitor)final FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultipliervalidate()Booleanequals(Object other)IntegerhashCode()StringtoString()final static FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplierofAuto()final static FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplierofManual(Double manual)-
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Method Detail
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accept
final <T extends Any> T accept(FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplier.Visitor<T> visitor)
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ofAuto
final static FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplier ofAuto()
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ofManual
final static FineTuningJob.Method.Supervised.Hyperparameters.LearningRateMultiplier ofManual(Double manual)
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