Interface VeoTuningSpecOrBuilder (3.77.0)

public interface VeoTuningSpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getHyperParameters()

public abstract VeoHyperParameters getHyperParameters()

Optional. Hyperparameters for Veo.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VeoHyperParameters	The hyperParameters.

getHyperParametersOrBuilder()

public abstract VeoHyperParametersOrBuilder getHyperParametersOrBuilder()

Optional. Hyperparameters for Veo.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VeoHyperParametersOrBuilder

getTrainingDatasetUri()

public abstract String getTrainingDatasetUri()

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The trainingDatasetUri.

getTrainingDatasetUriBytes()

public abstract ByteString getTrainingDatasetUriBytes()

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for trainingDatasetUri.

getValidationDatasetUri()

public abstract String getValidationDatasetUri()

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The validationDatasetUri.

getValidationDatasetUriBytes()

public abstract ByteString getValidationDatasetUriBytes()

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for validationDatasetUri.

hasHyperParameters()

public abstract boolean hasHyperParameters()

Optional. Hyperparameters for Veo.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the hyperParameters field is set.