Package com.openai.models
Class FineTuningJob.Hyperparameters.LearningRateMultiplier
-
- All Implemented Interfaces:
public final class FineTuningJob.Hyperparameters.LearningRateMultiplier
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description public interface
FineTuningJob.Hyperparameters.LearningRateMultiplier.Visitor
public final class
FineTuningJob.Hyperparameters.LearningRateMultiplier.Deserializer
public final class
FineTuningJob.Hyperparameters.LearningRateMultiplier.Serializer
public final class
FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto
-
Method Summary
Modifier and Type Method Description final Optional<FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto>
auto()
final Optional<Double>
number()
final Boolean
isAuto()
final Boolean
isNumber()
final FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto
asAuto()
final Double
asNumber()
final Optional<JsonValue>
_json()
final <T extends Any> T
accept(FineTuningJob.Hyperparameters.LearningRateMultiplier.Visitor<T> visitor)
final FineTuningJob.Hyperparameters.LearningRateMultiplier
validate()
Boolean
equals(Object other)
Integer
hashCode()
String
toString()
final static FineTuningJob.Hyperparameters.LearningRateMultiplier
ofAuto(FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto auto)
final static FineTuningJob.Hyperparameters.LearningRateMultiplier
ofNumber(Double number)
-
-
Method Detail
-
asAuto
final FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto asAuto()
-
accept
final <T extends Any> T accept(FineTuningJob.Hyperparameters.LearningRateMultiplier.Visitor<T> visitor)
-
validate
final FineTuningJob.Hyperparameters.LearningRateMultiplier validate()
-
ofAuto
final static FineTuningJob.Hyperparameters.LearningRateMultiplier ofAuto(FineTuningJob.Hyperparameters.LearningRateMultiplier.Auto auto)
-
ofNumber
final static FineTuningJob.Hyperparameters.LearningRateMultiplier ofNumber(Double number)
-
-
-
-