@Generated(value="by gapic-generator-java")
See: Description
The interfaces provided are listed below, along with usage samples.
======================= DatasetServiceClient =======================
Service Description: The service that manages Vertex AI Dataset and its child resources.
Sample for DatasetServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
Dataset response = datasetServiceClient.getDataset(name);
}
======================= DeploymentResourcePoolServiceClient =======================
Service Description: A service that manages the DeploymentResourcePool resource.
Sample for DeploymentResourcePoolServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (DeploymentResourcePoolServiceClient deploymentResourcePoolServiceClient =
DeploymentResourcePoolServiceClient.create()) {
DeploymentResourcePoolName name =
DeploymentResourcePoolName.of("[PROJECT]", "[LOCATION]", "[DEPLOYMENT_RESOURCE_POOL]");
DeploymentResourcePool response =
deploymentResourcePoolServiceClient.getDeploymentResourcePool(name);
}
======================= EndpointServiceClient =======================
Service Description: A service for managing Vertex AI's Endpoints.
Sample for EndpointServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
EndpointName name =
EndpointName.ofProjectLocationEndpointName("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
Endpoint response = endpointServiceClient.getEndpoint(name);
}
======================= FeatureOnlineStoreAdminServiceClient =======================
Service Description: The service that handles CRUD and List for resources for FeatureOnlineStore.
Sample for FeatureOnlineStoreAdminServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (FeatureOnlineStoreAdminServiceClient featureOnlineStoreAdminServiceClient =
FeatureOnlineStoreAdminServiceClient.create()) {
FeatureOnlineStoreName name =
FeatureOnlineStoreName.of("[PROJECT]", "[LOCATION]", "[FEATURE_ONLINE_STORE]");
FeatureOnlineStore response =
featureOnlineStoreAdminServiceClient.getFeatureOnlineStore(name);
}
======================= FeatureRegistryServiceClient =======================
Service Description: The service that handles CRUD and List for resources for FeatureRegistry.
Sample for FeatureRegistryServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (FeatureRegistryServiceClient featureRegistryServiceClient =
FeatureRegistryServiceClient.create()) {
FeatureGroupName name = FeatureGroupName.of("[PROJECT]", "[LOCATION]", "[FEATURE_GROUP]");
FeatureGroup response = featureRegistryServiceClient.getFeatureGroup(name);
}
======================= FeatureOnlineStoreServiceClient =======================
Sample for FeatureOnlineStoreServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (FeatureOnlineStoreServiceClient featureOnlineStoreServiceClient =
FeatureOnlineStoreServiceClient.create()) {
FeatureViewName featureView =
FeatureViewName.of("[PROJECT]", "[LOCATION]", "[FEATURE_ONLINE_STORE]", "[FEATURE_VIEW]");
FeatureViewDataKey dataKey = FeatureViewDataKey.newBuilder().build();
FetchFeatureValuesResponse response =
featureOnlineStoreServiceClient.fetchFeatureValues(featureView, dataKey);
}
======================= FeaturestoreOnlineServingServiceClient =======================
Service Description: A service for serving online feature values.
Sample for FeaturestoreOnlineServingServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (FeaturestoreOnlineServingServiceClient featurestoreOnlineServingServiceClient =
FeaturestoreOnlineServingServiceClient.create()) {
EntityTypeName entityType =
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]");
ReadFeatureValuesResponse response =
featurestoreOnlineServingServiceClient.readFeatureValues(entityType);
}
======================= FeaturestoreServiceClient =======================
Service Description: The service that handles CRUD and List for resources for Featurestore.
Sample for FeaturestoreServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (FeaturestoreServiceClient featurestoreServiceClient = FeaturestoreServiceClient.create()) {
FeaturestoreName name = FeaturestoreName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]");
Featurestore response = featurestoreServiceClient.getFeaturestore(name);
}
======================= IndexEndpointServiceClient =======================
Service Description: A service for managing Vertex AI's IndexEndpoints.
Sample for IndexEndpointServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (IndexEndpointServiceClient indexEndpointServiceClient =
IndexEndpointServiceClient.create()) {
IndexEndpointName name = IndexEndpointName.of("[PROJECT]", "[LOCATION]", "[INDEX_ENDPOINT]");
IndexEndpoint response = indexEndpointServiceClient.getIndexEndpoint(name);
}
======================= IndexServiceClient =======================
Service Description: A service for creating and managing Vertex AI's Index resources.
Sample for IndexServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (IndexServiceClient indexServiceClient = IndexServiceClient.create()) {
IndexName name = IndexName.of("[PROJECT]", "[LOCATION]", "[INDEX]");
Index response = indexServiceClient.getIndex(name);
}
======================= JobServiceClient =======================
Service Description: A service for creating and managing Vertex AI's jobs.
Sample for JobServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
CustomJob customJob = CustomJob.newBuilder().build();
CustomJob response = jobServiceClient.createCustomJob(parent, customJob);
}
======================= LlmUtilityServiceClient =======================
Service Description: Service for LLM related utility functions.
Sample for LlmUtilityServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (LlmUtilityServiceClient llmUtilityServiceClient = LlmUtilityServiceClient.create()) {
EndpointName endpoint =
EndpointName.ofProjectLocationEndpointName("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
List<Value> instances = new ArrayList<>();
ComputeTokensResponse response = llmUtilityServiceClient.computeTokens(endpoint, instances);
}
======================= MatchServiceClient =======================
Service Description: MatchService is a Google managed service for efficient vector similarity search at scale.
Sample for MatchServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (MatchServiceClient matchServiceClient = MatchServiceClient.create()) {
FindNeighborsRequest request =
FindNeighborsRequest.newBuilder()
.setIndexEndpoint(
IndexEndpointName.of("[PROJECT]", "[LOCATION]", "[INDEX_ENDPOINT]").toString())
.setDeployedIndexId("deployedIndexId-1101212953")
.addAllQueries(new ArrayList<FindNeighborsRequest.Query>())
.setReturnFullDatapoint(true)
.build();
FindNeighborsResponse response = matchServiceClient.findNeighbors(request);
}
======================= MetadataServiceClient =======================
Service Description: Service for reading and writing metadata entries.
Sample for MetadataServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (MetadataServiceClient metadataServiceClient = MetadataServiceClient.create()) {
MetadataStoreName name = MetadataStoreName.of("[PROJECT]", "[LOCATION]", "[METADATA_STORE]");
MetadataStore response = metadataServiceClient.getMetadataStore(name);
}
======================= MigrationServiceClient =======================
Service Description: A service that migrates resources from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
Sample for MigrationServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
GetLocationRequest request = GetLocationRequest.newBuilder().setName("name3373707").build();
Location response = migrationServiceClient.getLocation(request);
}
======================= ModelGardenServiceClient =======================
Service Description: The interface of Model Garden Service.
Sample for ModelGardenServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (ModelGardenServiceClient modelGardenServiceClient = ModelGardenServiceClient.create()) {
PublisherModelName name = PublisherModelName.of("[PUBLISHER]", "[MODEL]");
PublisherModel response = modelGardenServiceClient.getPublisherModel(name);
}
======================= ModelServiceClient =======================
Service Description: A service for managing Vertex AI's machine learning Models.
Sample for ModelServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
Model response = modelServiceClient.getModel(name);
}
======================= PersistentResourceServiceClient =======================
Service Description: A service for managing Vertex AI's machine learning PersistentResource.
Sample for PersistentResourceServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (PersistentResourceServiceClient persistentResourceServiceClient =
PersistentResourceServiceClient.create()) {
PersistentResourceName name =
PersistentResourceName.of("[PROJECT]", "[LOCATION]", "[PERSISTENT_RESOURCE]");
PersistentResource response = persistentResourceServiceClient.getPersistentResource(name);
}
======================= PipelineServiceClient =======================
Service Description: A service for creating and managing Vertex AI's pipelines. This includes both `TrainingPipeline` resources (used for AutoML and custom training) and `PipelineJob` resources (used for Vertex AI Pipelines).
Sample for PipelineServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
TrainingPipeline response =
pipelineServiceClient.createTrainingPipeline(parent, trainingPipeline);
}
======================= PredictionServiceClient =======================
Service Description: A service for online predictions and explanations.
Sample for PredictionServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
EndpointName endpoint =
EndpointName.ofProjectLocationEndpointName("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
List<Value> instances = new ArrayList<>();
Value parameters = Value.newBuilder().setBoolValue(true).build();
PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
}
======================= ScheduleServiceClient =======================
Service Description: A service for creating and managing Vertex AI's Schedule resources to periodically launch shceudled runs to make API calls.
Sample for ScheduleServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (ScheduleServiceClient scheduleServiceClient = ScheduleServiceClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
Schedule schedule = Schedule.newBuilder().build();
Schedule response = scheduleServiceClient.createSchedule(parent, schedule);
}
======================= SpecialistPoolServiceClient =======================
Service Description: A service for creating and managing Customer SpecialistPools. When customers start Data Labeling jobs, they can reuse/create Specialist Pools to bring their own Specialists to label the data. Customers can add/remove Managers for the Specialist Pool on Cloud console, then Managers will get email notifications to manage Specialists and tasks on CrowdCompute console.
Sample for SpecialistPoolServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (SpecialistPoolServiceClient specialistPoolServiceClient =
SpecialistPoolServiceClient.create()) {
SpecialistPoolName name =
SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(name);
}
======================= TensorboardServiceClient =======================
Service Description: TensorboardService
Sample for TensorboardServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
Tensorboard response = tensorboardServiceClient.getTensorboard(name);
}
======================= VizierServiceClient =======================
Service Description: Vertex AI Vizier API.
Vertex AI Vizier is a service to solve blackbox optimization problems, such as tuning machine learning hyperparameters and searching over deep learning architectures.
Sample for VizierServiceClient:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (VizierServiceClient vizierServiceClient = VizierServiceClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
Study study = Study.newBuilder().build();
Study response = vizierServiceClient.createStudy(parent, study);
}
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