google-cloud-aiplatform overview (3.25.0)

com.google.cloud.aiplatform.util

com.google.cloud.aiplatform.v1

A client to Vertex AI API

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_librarytry(DatasetServiceClientdatasetServiceClient=DatasetServiceClient.create()){DatasetNamename=DatasetName.of("[PROJECT]","[LOCATION]","[DATASET]");Datasetresponse=datasetServiceClient.getDataset(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_librarytry(EndpointServiceClientendpointServiceClient=EndpointServiceClient.create()){EndpointNamename=EndpointName.ofProjectLocationEndpointName("[PROJECT]","[LOCATION]","[ENDPOINT]");Endpointresponse=endpointServiceClient.getEndpoint(name);}

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_librarytry(FeaturestoreOnlineServingServiceClientfeaturestoreOnlineServingServiceClient=FeaturestoreOnlineServingServiceClient.create()){EntityTypeNameentityType=EntityTypeName.of("[PROJECT]","[LOCATION]","[FEATURESTORE]","[ENTITY_TYPE]");ReadFeatureValuesResponseresponse=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_librarytry(FeaturestoreServiceClientfeaturestoreServiceClient=FeaturestoreServiceClient.create()){FeaturestoreNamename=FeaturestoreName.of("[PROJECT]","[LOCATION]","[FEATURESTORE]");Featurestoreresponse=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_librarytry(IndexEndpointServiceClientindexEndpointServiceClient=IndexEndpointServiceClient.create()){IndexEndpointNamename=IndexEndpointName.of("[PROJECT]","[LOCATION]","[INDEX_ENDPOINT]");IndexEndpointresponse=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_librarytry(IndexServiceClientindexServiceClient=IndexServiceClient.create()){IndexNamename=IndexName.of("[PROJECT]","[LOCATION]","[INDEX]");Indexresponse=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_librarytry(JobServiceClientjobServiceClient=JobServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");CustomJobcustomJob=CustomJob.newBuilder().build();CustomJobresponse=jobServiceClient.createCustomJob(parent,customJob);}

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_librarytry(MatchServiceClientmatchServiceClient=MatchServiceClient.create()){FindNeighborsRequestrequest=FindNeighborsRequest.newBuilder().setIndexEndpoint(IndexEndpointName.of("[PROJECT]","[LOCATION]","[INDEX_ENDPOINT]").toString()).setDeployedIndexId("deployedIndexId-1101212953").addAllQueries(newArrayList<FindNeighborsRequest.Query>()).setReturnFullDatapoint(true).build();FindNeighborsResponseresponse=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_librarytry(MetadataServiceClientmetadataServiceClient=MetadataServiceClient.create()){MetadataStoreNamename=MetadataStoreName.of("[PROJECT]","[LOCATION]","[METADATA_STORE]");MetadataStoreresponse=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_librarytry(MigrationServiceClientmigrationServiceClient=MigrationServiceClient.create()){GetLocationRequestrequest=GetLocationRequest.newBuilder().setName("name3373707").build();Locationresponse=migrationServiceClient.getLocation(request);}

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_librarytry(ModelServiceClientmodelServiceClient=ModelServiceClient.create()){ModelNamename=ModelName.of("[PROJECT]","[LOCATION]","[MODEL]");Modelresponse=modelServiceClient.getModel(name);}

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_librarytry(ModelGardenServiceClientmodelGardenServiceClient=ModelGardenServiceClient.create()){PublisherModelNamename=PublisherModelName.of("[PUBLISHER]","[MODEL]");PublisherModelresponse=modelGardenServiceClient.getPublisherModel(name);}

PipelineServiceClient

Service Description: A service for creating and managing Vertex AI's pipelines. This includes bothTrainingPipeline resources (used for AutoML and custom training) andPipelineJob 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_librarytry(PipelineServiceClientpipelineServiceClient=PipelineServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");TrainingPipelinetrainingPipeline=TrainingPipeline.newBuilder().build();TrainingPipelineresponse=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_librarytry(PredictionServiceClientpredictionServiceClient=PredictionServiceClient.create()){EndpointNameendpoint=EndpointName.ofProjectLocationEndpointName("[PROJECT]","[LOCATION]","[ENDPOINT]");List<Value>instances=newArrayList<>();Valueparameters=Value.newBuilder().setBoolValue(true).build();PredictResponseresponse=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_librarytry(ScheduleServiceClientscheduleServiceClient=ScheduleServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");Scheduleschedule=Schedule.newBuilder().build();Scheduleresponse=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_librarytry(SpecialistPoolServiceClientspecialistPoolServiceClient=SpecialistPoolServiceClient.create()){SpecialistPoolNamename=SpecialistPoolName.of("[PROJECT]","[LOCATION]","[SPECIALIST_POOL]");SpecialistPoolresponse=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_librarytry(TensorboardServiceClienttensorboardServiceClient=TensorboardServiceClient.create()){TensorboardNamename=TensorboardName.of("[PROJECT]","[LOCATION]","[TENSORBOARD]");Tensorboardresponse=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_librarytry(VizierServiceClientvizierServiceClient=VizierServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");Studystudy=Study.newBuilder().build();Studyresponse=vizierServiceClient.createStudy(parent,study);}

com.google.cloud.aiplatform.v1.schema.predict.instance

com.google.cloud.aiplatform.v1.schema.predict.params

com.google.cloud.aiplatform.v1.schema.predict.prediction

com.google.cloud.aiplatform.v1.schema.trainingjob.definition

com.google.cloud.aiplatform.v1.stub

com.google.cloud.aiplatform.v1beta1

A client to Vertex AI API

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_librarytry(DatasetServiceClientdatasetServiceClient=DatasetServiceClient.create()){DatasetNamename=DatasetName.of("[PROJECT]","[LOCATION]","[DATASET]");Datasetresponse=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_librarytry(DeploymentResourcePoolServiceClientdeploymentResourcePoolServiceClient=DeploymentResourcePoolServiceClient.create()){DeploymentResourcePoolNamename=DeploymentResourcePoolName.of("[PROJECT]","[LOCATION]","[DEPLOYMENT_RESOURCE_POOL]");DeploymentResourcePoolresponse=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_librarytry(EndpointServiceClientendpointServiceClient=EndpointServiceClient.create()){EndpointNamename=EndpointName.ofProjectLocationEndpointName("[PROJECT]","[LOCATION]","[ENDPOINT]");Endpointresponse=endpointServiceClient.getEndpoint(name);}

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_librarytry(FeaturestoreOnlineServingServiceClientfeaturestoreOnlineServingServiceClient=FeaturestoreOnlineServingServiceClient.create()){EntityTypeNameentityType=EntityTypeName.of("[PROJECT]","[LOCATION]","[FEATURESTORE]","[ENTITY_TYPE]");ReadFeatureValuesResponseresponse=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_librarytry(FeaturestoreServiceClientfeaturestoreServiceClient=FeaturestoreServiceClient.create()){FeaturestoreNamename=FeaturestoreName.of("[PROJECT]","[LOCATION]","[FEATURESTORE]");Featurestoreresponse=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_librarytry(IndexEndpointServiceClientindexEndpointServiceClient=IndexEndpointServiceClient.create()){IndexEndpointNamename=IndexEndpointName.of("[PROJECT]","[LOCATION]","[INDEX_ENDPOINT]");IndexEndpointresponse=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_librarytry(IndexServiceClientindexServiceClient=IndexServiceClient.create()){IndexNamename=IndexName.of("[PROJECT]","[LOCATION]","[INDEX]");Indexresponse=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_librarytry(JobServiceClientjobServiceClient=JobServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");CustomJobcustomJob=CustomJob.newBuilder().build();CustomJobresponse=jobServiceClient.createCustomJob(parent,customJob);}

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_librarytry(MatchServiceClientmatchServiceClient=MatchServiceClient.create()){FindNeighborsRequestrequest=FindNeighborsRequest.newBuilder().setIndexEndpoint(IndexEndpointName.of("[PROJECT]","[LOCATION]","[INDEX_ENDPOINT]").toString()).setDeployedIndexId("deployedIndexId-1101212953").addAllQueries(newArrayList<FindNeighborsRequest.Query>()).setReturnFullDatapoint(true).build();FindNeighborsResponseresponse=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_librarytry(MetadataServiceClientmetadataServiceClient=MetadataServiceClient.create()){MetadataStoreNamename=MetadataStoreName.of("[PROJECT]","[LOCATION]","[METADATA_STORE]");MetadataStoreresponse=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_librarytry(MigrationServiceClientmigrationServiceClient=MigrationServiceClient.create()){GetLocationRequestrequest=GetLocationRequest.newBuilder().setName("name3373707").build();Locationresponse=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_librarytry(ModelGardenServiceClientmodelGardenServiceClient=ModelGardenServiceClient.create()){PublisherModelNamename=PublisherModelName.of("[PUBLISHER]","[MODEL]");PublisherModelresponse=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_librarytry(ModelServiceClientmodelServiceClient=ModelServiceClient.create()){ModelNamename=ModelName.of("[PROJECT]","[LOCATION]","[MODEL]");Modelresponse=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_librarytry(PersistentResourceServiceClientpersistentResourceServiceClient=PersistentResourceServiceClient.create()){PersistentResourceNamename=PersistentResourceName.of("[PROJECT]","[LOCATION]","[PERSISTENT_RESOURCE]");PersistentResourceresponse=persistentResourceServiceClient.getPersistentResource(name);}

PipelineServiceClient

Service Description: A service for creating and managing Vertex AI's pipelines. This includes bothTrainingPipeline resources (used for AutoML and custom training) andPipelineJob 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_librarytry(PipelineServiceClientpipelineServiceClient=PipelineServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");TrainingPipelinetrainingPipeline=TrainingPipeline.newBuilder().build();TrainingPipelineresponse=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_librarytry(PredictionServiceClientpredictionServiceClient=PredictionServiceClient.create()){EndpointNameendpoint=EndpointName.ofProjectLocationEndpointName("[PROJECT]","[LOCATION]","[ENDPOINT]");List<Value>instances=newArrayList<>();Valueparameters=Value.newBuilder().setBoolValue(true).build();PredictResponseresponse=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_librarytry(ScheduleServiceClientscheduleServiceClient=ScheduleServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");Scheduleschedule=Schedule.newBuilder().build();Scheduleresponse=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_librarytry(SpecialistPoolServiceClientspecialistPoolServiceClient=SpecialistPoolServiceClient.create()){SpecialistPoolNamename=SpecialistPoolName.of("[PROJECT]","[LOCATION]","[SPECIALIST_POOL]");SpecialistPoolresponse=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_librarytry(TensorboardServiceClienttensorboardServiceClient=TensorboardServiceClient.create()){TensorboardNamename=TensorboardName.of("[PROJECT]","[LOCATION]","[TENSORBOARD]");Tensorboardresponse=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_librarytry(VizierServiceClientvizierServiceClient=VizierServiceClient.create()){LocationNameparent=LocationName.of("[PROJECT]","[LOCATION]");Studystudy=Study.newBuilder().build();Studyresponse=vizierServiceClient.createStudy(parent,study);}

com.google.cloud.aiplatform.v1beta1.schema.predict.instance

com.google.cloud.aiplatform.v1beta1.schema.predict.params

com.google.cloud.aiplatform.v1beta1.schema.predict.prediction

com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

com.google.cloud.aiplatform.v1beta1.stub

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Last updated 2026-01-31 UTC.