Package com.openai.models
Class FineTuningJob.Method.Supervised.Hyperparameters.NEpochs
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public final class FineTuningJob.Method.Supervised.Hyperparameters.NEpochs
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
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Nested Class Summary
Nested Classes Modifier and Type Class Description public interface
FineTuningJob.Method.Supervised.Hyperparameters.NEpochs.Visitor
public final class
FineTuningJob.Method.Supervised.Hyperparameters.NEpochs.Deserializer
public final class
FineTuningJob.Method.Supervised.Hyperparameters.NEpochs.Serializer
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Method Summary
Modifier and Type Method Description final Optional<JsonValue>
auto()
final Optional<Long>
manual()
final Boolean
isAuto()
final Boolean
isManual()
final JsonValue
asAuto()
final Long
asManual()
final Optional<JsonValue>
_json()
final <T extends Any> T
accept(FineTuningJob.Method.Supervised.Hyperparameters.NEpochs.Visitor<T> visitor)
final FineTuningJob.Method.Supervised.Hyperparameters.NEpochs
validate()
Boolean
equals(Object other)
Integer
hashCode()
String
toString()
final static FineTuningJob.Method.Supervised.Hyperparameters.NEpochs
ofAuto()
final static FineTuningJob.Method.Supervised.Hyperparameters.NEpochs
ofManual(Long manual)
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Method Detail
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accept
final <T extends Any> T accept(FineTuningJob.Method.Supervised.Hyperparameters.NEpochs.Visitor<T> visitor)
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validate
final FineTuningJob.Method.Supervised.Hyperparameters.NEpochs validate()
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ofAuto
final static FineTuningJob.Method.Supervised.Hyperparameters.NEpochs ofAuto()
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ofManual
final static FineTuningJob.Method.Supervised.Hyperparameters.NEpochs ofManual(Long manual)
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