public interface RebaseTunedModelRequestOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getArtifactDestination()
public abstract GcsDestination getArtifactDestination()
Optional. The Google Cloud Storage location to write the artifacts.
.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
GcsDestination |
The artifactDestination. |
getArtifactDestinationOrBuilder()
public abstract GcsDestinationOrBuilder getArtifactDestinationOrBuilder()
Optional. The Google Cloud Storage location to write the artifacts.
.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
GcsDestinationOrBuilder |
getDeployToSameEndpoint()
public abstract boolean getDeployToSameEndpoint()
Optional. By default, bison to gemini migration will always create new model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default deploy to the same endpoint. See details in this Section.
bool deploy_to_same_endpoint = 5 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
boolean |
The deployToSameEndpoint. |
getParent()
public abstract String getParent()
Required. The resource name of the Location into which to rebase the Model.
Format: projects/{project}/locations/{location}
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns | |
---|---|
Type | Description |
String |
The parent. |
getParentBytes()
public abstract ByteString getParentBytes()
Required. The resource name of the Location into which to rebase the Model.
Format: projects/{project}/locations/{location}
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for parent. |
getTunedModelRef()
public abstract TunedModelRef getTunedModelRef()
Required. TunedModel reference to retrieve the legacy model information.
.google.cloud.aiplatform.v1beta1.TunedModelRef tuned_model_ref = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
TunedModelRef |
The tunedModelRef. |
getTunedModelRefOrBuilder()
public abstract TunedModelRefOrBuilder getTunedModelRefOrBuilder()
Required. TunedModel reference to retrieve the legacy model information.
.google.cloud.aiplatform.v1beta1.TunedModelRef tuned_model_ref = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
TunedModelRefOrBuilder |
getTuningJob()
public abstract TuningJob getTuningJob()
Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.
.google.cloud.aiplatform.v1beta1.TuningJob tuning_job = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
TuningJob |
The tuningJob. |
getTuningJobOrBuilder()
public abstract TuningJobOrBuilder getTuningJobOrBuilder()
Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.
.google.cloud.aiplatform.v1beta1.TuningJob tuning_job = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
TuningJobOrBuilder |
hasArtifactDestination()
public abstract boolean hasArtifactDestination()
Optional. The Google Cloud Storage location to write the artifacts.
.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
boolean |
Whether the artifactDestination field is set. |
hasTunedModelRef()
public abstract boolean hasTunedModelRef()
Required. TunedModel reference to retrieve the legacy model information.
.google.cloud.aiplatform.v1beta1.TunedModelRef tuned_model_ref = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
boolean |
Whether the tunedModelRef field is set. |
hasTuningJob()
public abstract boolean hasTuningJob()
Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.
.google.cloud.aiplatform.v1beta1.TuningJob tuning_job = 3 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
boolean |
Whether the tuningJob field is set. |