Interface SupervisedHyperParametersOrBuilder (3.77.0)

public interface SupervisedHyperParametersOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAdapterSize()

public abstract SupervisedHyperParameters.AdapterSize getAdapterSize()

Optional. Adapter size for tuning.

.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters.AdapterSize adapter_size = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
SupervisedHyperParameters.AdapterSize	The adapterSize.

getAdapterSizeValue()

public abstract int getAdapterSizeValue()

Optional. Adapter size for tuning.

.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters.AdapterSize adapter_size = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The enum numeric value on the wire for adapterSize.

getBatchSize()

public abstract long getBatchSize()

Optional. Batch size for tuning. This feature is only available for open source models.

int64 batch_size = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
long	The batchSize.

getEpochCount()

public abstract long getEpochCount()

Optional. Number of complete passes the model makes over the entire training dataset during training.

int64 epoch_count = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
long	The epochCount.

getLearningRate()

public abstract double getLearningRate()

Optional. Learning rate for tuning. Mutually exclusive with learning_rate_multiplier. This feature is only available for open source models.

double learning_rate = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
double	The learningRate.

getLearningRateMultiplier()

public abstract double getLearningRateMultiplier()

Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with learning_rate.

double learning_rate_multiplier = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
double	The learningRateMultiplier.