Vertex AI API

Train high-quality custom machine learning models with minimal machine learning expertise and effort.

Service: aiplatform.googleapis.com

The Service name aiplatform.googleapis.com is needed to create RPC client stubs.

google.cloud.aiplatform.v1.DatasetService

Methods
CreateDataset Creates a Dataset.
CreateDatasetVersion Create a version from a Dataset.
DeleteDataset Deletes a Dataset.
DeleteDatasetVersion Deletes a Dataset version.
DeleteSavedQuery Deletes a SavedQuery.
ExportData Exports data from a Dataset.
GetAnnotationSpec Gets an AnnotationSpec.
GetDataset Gets a Dataset.
GetDatasetVersion Gets a Dataset version.
ImportData Imports data into a Dataset.
ListAnnotations Lists Annotations belongs to a dataitem
ListDataItems Lists DataItems in a Dataset.
ListDatasetVersions Lists DatasetVersions in a Dataset.
ListDatasets Lists Datasets in a Location.
ListSavedQueries Lists SavedQueries in a Dataset.
RestoreDatasetVersion Restores a dataset version.
SearchDataItems Searches DataItems in a Dataset.
UpdateDataset Updates a Dataset.
UpdateDatasetVersion Updates a DatasetVersion.

google.cloud.aiplatform.v1.DeploymentResourcePoolService

Methods
CreateDeploymentResourcePool Create a DeploymentResourcePool.
DeleteDeploymentResourcePool Delete a DeploymentResourcePool.
GetDeploymentResourcePool Get a DeploymentResourcePool.
ListDeploymentResourcePools List DeploymentResourcePools in a location.
QueryDeployedModels List DeployedModels that have been deployed on this DeploymentResourcePool.
UpdateDeploymentResourcePool Update a DeploymentResourcePool.

google.cloud.aiplatform.v1.EndpointService

Methods
CreateEndpoint Creates an Endpoint.
DeleteEndpoint Deletes an Endpoint.
DeployModel Deploys a Model into this Endpoint, creating a DeployedModel within it.
GetEndpoint Gets an Endpoint.
ListEndpoints Lists Endpoints in a Location.
MutateDeployedModel Updates an existing deployed model.
UndeployModel Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
UpdateEndpoint Updates an Endpoint.

google.cloud.aiplatform.v1.EvaluationService

Methods
EvaluateInstances Evaluates instances based on a given metric.

google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService

Methods
CreateFeatureOnlineStore Creates a new FeatureOnlineStore in a given project and location.
CreateFeatureView Creates a new FeatureView in a given FeatureOnlineStore.
DeleteFeatureOnlineStore Deletes a single FeatureOnlineStore.
DeleteFeatureView Deletes a single FeatureView.
GetFeatureOnlineStore Gets details of a single FeatureOnlineStore.
GetFeatureView Gets details of a single FeatureView.
GetFeatureViewSync Gets details of a single FeatureViewSync.
ListFeatureOnlineStores Lists FeatureOnlineStores in a given project and location.
ListFeatureViewSyncs Lists FeatureViewSyncs in a given FeatureView.
ListFeatureViews Lists FeatureViews in a given FeatureOnlineStore.
SyncFeatureView Triggers on-demand sync for the FeatureView.
UpdateFeatureOnlineStore Updates the parameters of a single FeatureOnlineStore.
UpdateFeatureView Updates the parameters of a single FeatureView.

google.cloud.aiplatform.v1.FeatureOnlineStoreService

Methods
FetchFeatureValues Fetch feature values under a FeatureView.
SearchNearestEntities Search the nearest entities under a FeatureView.

google.cloud.aiplatform.v1.FeatureRegistryService

Methods
CreateFeature Creates a new Feature in a given FeatureGroup.
CreateFeatureGroup Creates a new FeatureGroup in a given project and location.
DeleteFeature Deletes a single Feature.
DeleteFeatureGroup Deletes a single FeatureGroup.
GetFeature Gets details of a single Feature.
GetFeatureGroup Gets details of a single FeatureGroup.
ListFeatureGroups Lists FeatureGroups in a given project and location.
ListFeatures Lists Features in a given FeatureGroup.
UpdateFeature Updates the parameters of a single Feature.
UpdateFeatureGroup Updates the parameters of a single FeatureGroup.

google.cloud.aiplatform.v1.FeaturestoreOnlineServingService

Methods
ReadFeatureValues Reads Feature values of a specific entity of an EntityType.
StreamingReadFeatureValues Reads Feature values for multiple entities.
WriteFeatureValues Writes Feature values of one or more entities of an EntityType.

google.cloud.aiplatform.v1.FeaturestoreService

Methods
BatchCreateFeatures Creates a batch of Features in a given EntityType.
BatchReadFeatureValues Batch reads Feature values from a Featurestore.
CreateEntityType Creates a new EntityType in a given Featurestore.
CreateFeature Creates a new Feature in a given EntityType.
CreateFeaturestore Creates a new Featurestore in a given project and location.
DeleteEntityType Deletes a single EntityType.
DeleteFeature Deletes a single Feature.
DeleteFeatureValues Delete Feature values from Featurestore.
DeleteFeaturestore Deletes a single Featurestore.
ExportFeatureValues Exports Feature values from all the entities of a target EntityType.
GetEntityType Gets details of a single EntityType.
GetFeature Gets details of a single Feature.
GetFeaturestore Gets details of a single Featurestore.
ImportFeatureValues Imports Feature values into the Featurestore from a source storage.
ListEntityTypes Lists EntityTypes in a given Featurestore.
ListFeatures Lists Features in a given EntityType.
ListFeaturestores Lists Featurestores in a given project and location.
SearchFeatures Searches Features matching a query in a given project.
UpdateEntityType Updates the parameters of a single EntityType.
UpdateFeature Updates the parameters of a single Feature.
UpdateFeaturestore Updates the parameters of a single Featurestore.

google.cloud.aiplatform.v1.GenAiTuningService

Methods
CancelTuningJob Cancels a TuningJob.
CreateTuningJob Creates a TuningJob.
GetTuningJob Gets a TuningJob.
ListTuningJobs Lists TuningJobs in a Location.

google.cloud.aiplatform.v1.IndexEndpointService

Methods
CreateIndexEndpoint Creates an IndexEndpoint.
DeleteIndexEndpoint Deletes an IndexEndpoint.
DeployIndex Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
GetIndexEndpoint Gets an IndexEndpoint.
ListIndexEndpoints Lists IndexEndpoints in a Location.
MutateDeployedIndex Update an existing DeployedIndex under an IndexEndpoint.
UndeployIndex Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
UpdateIndexEndpoint Updates an IndexEndpoint.

google.cloud.aiplatform.v1.IndexService

Methods
CreateIndex Creates an Index.
DeleteIndex Deletes an Index.
GetIndex Gets an Index.
ListIndexes Lists Indexes in a Location.
RemoveDatapoints Remove Datapoints from an Index.
UpdateIndex Updates an Index.
UpsertDatapoints Add/update Datapoints into an Index.

google.cloud.aiplatform.v1.JobService

Methods
CancelBatchPredictionJob Cancels a BatchPredictionJob.
CancelCustomJob Cancels a CustomJob.
CancelDataLabelingJob Cancels a DataLabelingJob.
CancelHyperparameterTuningJob Cancels a HyperparameterTuningJob.
CancelNasJob Cancels a NasJob.
CreateBatchPredictionJob Creates a BatchPredictionJob.
CreateCustomJob Creates a CustomJob.
CreateDataLabelingJob Creates a DataLabelingJob.
CreateHyperparameterTuningJob Creates a HyperparameterTuningJob
CreateModelDeploymentMonitoringJob Creates a ModelDeploymentMonitoringJob.
CreateNasJob Creates a NasJob
DeleteBatchPredictionJob Deletes a BatchPredictionJob.
DeleteCustomJob Deletes a CustomJob.
DeleteDataLabelingJob Deletes a DataLabelingJob.
DeleteHyperparameterTuningJob Deletes a HyperparameterTuningJob.
DeleteModelDeploymentMonitoringJob Deletes a ModelDeploymentMonitoringJob.
DeleteNasJob Deletes a NasJob.
GetBatchPredictionJob Gets a BatchPredictionJob
GetCustomJob Gets a CustomJob.
GetDataLabelingJob Gets a DataLabelingJob.
GetHyperparameterTuningJob Gets a HyperparameterTuningJob
GetModelDeploymentMonitoringJob Gets a ModelDeploymentMonitoringJob.
GetNasJob Gets a NasJob
GetNasTrialDetail Gets a NasTrialDetail.
ListBatchPredictionJobs Lists BatchPredictionJobs in a Location.
ListCustomJobs Lists CustomJobs in a Location.
ListDataLabelingJobs Lists DataLabelingJobs in a Location.
ListHyperparameterTuningJobs Lists HyperparameterTuningJobs in a Location.
ListModelDeploymentMonitoringJobs Lists ModelDeploymentMonitoringJobs in a Location.
ListNasJobs Lists NasJobs in a Location.
ListNasTrialDetails List top NasTrialDetails of a NasJob.
PauseModelDeploymentMonitoringJob Pauses a ModelDeploymentMonitoringJob.
ResumeModelDeploymentMonitoringJob Resumes a paused ModelDeploymentMonitoringJob.
SearchModelDeploymentMonitoringStatsAnomalies Searches Model Monitoring Statistics generated within a given time window.
UpdateModelDeploymentMonitoringJob Updates a ModelDeploymentMonitoringJob.

google.cloud.aiplatform.v1.LlmUtilityService

Methods
ComputeTokens Return a list of tokens based on the input text.
CountTokens Perform a token counting.

google.cloud.aiplatform.v1.MatchService

Methods

google.cloud.aiplatform.v1.MetadataService

Methods
AddContextArtifactsAndExecutions Adds a set of Artifacts and Executions to a Context.
AddContextChildren Adds a set of Contexts as children to a parent Context.
AddExecutionEvents Adds Events to the specified Execution.
CreateArtifact Creates an Artifact associated with a MetadataStore.
CreateContext Creates a Context associated with a MetadataStore.
CreateExecution Creates an Execution associated with a MetadataStore.
CreateMetadataSchema Creates a MetadataSchema.
CreateMetadataStore Initializes a MetadataStore, including allocation of resources.
DeleteArtifact Deletes an Artifact.
DeleteContext Deletes a stored Context.
DeleteExecution Deletes an Execution.
DeleteMetadataStore Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
GetArtifact Retrieves a specific Artifact.
GetContext Retrieves a specific Context.
GetExecution Retrieves a specific Execution.
GetMetadataSchema Retrieves a specific MetadataSchema.
GetMetadataStore Retrieves a specific MetadataStore.
ListArtifacts Lists Artifacts in the MetadataStore.
ListContexts Lists Contexts on the MetadataStore.
ListExecutions Lists Executions in the MetadataStore.
ListMetadataSchemas Lists MetadataSchemas.
ListMetadataStores Lists MetadataStores for a Location.
PurgeArtifacts Purges Artifacts.
PurgeContexts Purges Contexts.
PurgeExecutions Purges Executions.
QueryArtifactLineageSubgraph Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
QueryContextLineageSubgraph Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
QueryExecutionInputsAndOutputs Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
RemoveContextChildren Remove a set of children contexts from a parent Context.
UpdateArtifact Updates a stored Artifact.
UpdateContext Updates a stored Context.
UpdateExecution Updates a stored Execution.

google.cloud.aiplatform.v1.MigrationService

Methods
BatchMigrateResources Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
SearchMigratableResources Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

google.cloud.aiplatform.v1.ModelGardenService

Methods
GetPublisherModel Gets a Model Garden publisher model.

google.cloud.aiplatform.v1.ModelService

Methods
BatchImportEvaluatedAnnotations Imports a list of externally generated EvaluatedAnnotations.
BatchImportModelEvaluationSlices Imports a list of externally generated ModelEvaluationSlice.
CopyModel Copies an already existing Vertex AI Model into the specified Location.
DeleteModel Deletes a Model.
DeleteModelVersion Deletes a Model version.
ExportModel Exports a trained, exportable Model to a location specified by the user.
GetModel Gets a Model.
GetModelEvaluation Gets a ModelEvaluation.
GetModelEvaluationSlice Gets a ModelEvaluationSlice.
ImportModelEvaluation Imports an externally generated ModelEvaluation.
ListModelEvaluationSlices Lists ModelEvaluationSlices in a ModelEvaluation.
ListModelEvaluations Lists ModelEvaluations in a Model.
ListModelVersions Lists versions of the specified model.
ListModels Lists Models in a Location.
MergeVersionAliases Merges a set of aliases for a Model version.
UpdateExplanationDataset Incrementally update the dataset used for an examples model.
UpdateModel Updates a Model.
UploadModel Uploads a Model artifact into Vertex AI.

google.cloud.aiplatform.v1.NotebookService

Methods
AssignNotebookRuntime Assigns a NotebookRuntime to a user for a particular Notebook file.
CreateNotebookRuntimeTemplate Creates a NotebookRuntimeTemplate.
DeleteNotebookRuntime Deletes a NotebookRuntime.
DeleteNotebookRuntimeTemplate Deletes a NotebookRuntimeTemplate.
GetNotebookRuntime Gets a NotebookRuntime.
GetNotebookRuntimeTemplate Gets a NotebookRuntimeTemplate.
ListNotebookRuntimeTemplates Lists NotebookRuntimeTemplates in a Location.
ListNotebookRuntimes Lists NotebookRuntimes in a Location.
StartNotebookRuntime Starts a NotebookRuntime.
UpdateNotebookRuntimeTemplate Updates a NotebookRuntimeTemplate.
UpgradeNotebookRuntime Upgrades a NotebookRuntime.

google.cloud.aiplatform.v1.PersistentResourceService

Methods
CreatePersistentResource Creates a PersistentResource.
DeletePersistentResource Deletes a PersistentResource.
GetPersistentResource Gets a PersistentResource.
ListPersistentResources Lists PersistentResources in a Location.
RebootPersistentResource Reboots a PersistentResource.
UpdatePersistentResource Updates a PersistentResource.

google.cloud.aiplatform.v1.PipelineService

Methods
BatchCancelPipelineJobs Batch cancel PipelineJobs.
BatchDeletePipelineJobs Batch deletes PipelineJobs The Operation is atomic.
CancelPipelineJob Cancels a PipelineJob.
CancelTrainingPipeline Cancels a TrainingPipeline.
CreatePipelineJob Creates a PipelineJob.
CreateTrainingPipeline Creates a TrainingPipeline.
DeletePipelineJob Deletes a PipelineJob.
DeleteTrainingPipeline Deletes a TrainingPipeline.
GetPipelineJob Gets a PipelineJob.
GetTrainingPipeline Gets a TrainingPipeline.
ListPipelineJobs Lists PipelineJobs in a Location.
ListTrainingPipelines Lists TrainingPipelines in a Location.

google.cloud.aiplatform.v1.PredictionService

Methods
DirectPredict Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.
DirectRawPredict Perform an unary online prediction request to a gRPC model server for custom containers.
Explain Perform an online explanation.
GenerateContent Generate content with multimodal inputs.
Predict Perform an online prediction.
RawPredict Perform an online prediction with an arbitrary HTTP payload.
ServerStreamingPredict Perform a server-side streaming online prediction request for Vertex LLM streaming.
StreamDirectPredict Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.
StreamDirectRawPredict Perform a streaming online prediction request to a gRPC model server for custom containers.
StreamGenerateContent Generate content with multimodal inputs with streaming support.
StreamRawPredict Perform a streaming online prediction with an arbitrary HTTP payload.
StreamingPredict Perform a streaming online prediction request for Vertex first-party products and frameworks.
StreamingRawPredict Perform a streaming online prediction request through gRPC.

google.cloud.aiplatform.v1.ScheduleService

Methods
CreateSchedule Creates a Schedule.
DeleteSchedule Deletes a Schedule.
GetSchedule Gets a Schedule.
ListSchedules Lists Schedules in a Location.
PauseSchedule Pauses a Schedule.
ResumeSchedule Resumes a paused Schedule to start scheduling new runs.
UpdateSchedule Updates an active or paused Schedule.

google.cloud.aiplatform.v1.SpecialistPoolService

Methods
CreateSpecialistPool Creates a SpecialistPool.
DeleteSpecialistPool Deletes a SpecialistPool as well as all Specialists in the pool.
GetSpecialistPool Gets a SpecialistPool.
ListSpecialistPools Lists SpecialistPools in a Location.
UpdateSpecialistPool Updates a SpecialistPool.

google.cloud.aiplatform.v1.TensorboardService

Methods
BatchCreateTensorboardRuns Batch create TensorboardRuns.
BatchCreateTensorboardTimeSeries Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
BatchReadTensorboardTimeSeriesData Reads multiple TensorboardTimeSeries' data.
CreateTensorboard Creates a Tensorboard.
CreateTensorboardExperiment Creates a TensorboardExperiment.
CreateTensorboardRun Creates a TensorboardRun.
CreateTensorboardTimeSeries Creates a TensorboardTimeSeries.
DeleteTensorboard Deletes a Tensorboard.
DeleteTensorboardExperiment Deletes a TensorboardExperiment.
DeleteTensorboardRun Deletes a TensorboardRun.
DeleteTensorboardTimeSeries Deletes a TensorboardTimeSeries.
ExportTensorboardTimeSeriesData Exports a TensorboardTimeSeries' data.
GetTensorboard Gets a Tensorboard.
GetTensorboardExperiment Gets a TensorboardExperiment.
GetTensorboardRun Gets a TensorboardRun.
GetTensorboardTimeSeries Gets a TensorboardTimeSeries.
ListTensorboardExperiments Lists TensorboardExperiments in a Location.
ListTensorboardRuns Lists TensorboardRuns in a Location.
ListTensorboardTimeSeries Lists TensorboardTimeSeries in a Location.
ListTensorboards Lists Tensorboards in a Location.
ReadTensorboardBlobData Gets bytes of TensorboardBlobs.
ReadTensorboardSize Returns the storage size for a given TensorBoard instance.
ReadTensorboardTimeSeriesData Reads a TensorboardTimeSeries' data.
ReadTensorboardUsage Returns a list of monthly active users for a given TensorBoard instance.
UpdateTensorboard Updates a Tensorboard.
UpdateTensorboardExperiment Updates a TensorboardExperiment.
UpdateTensorboardRun Updates a TensorboardRun.
UpdateTensorboardTimeSeries Updates a TensorboardTimeSeries.
WriteTensorboardExperimentData Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
WriteTensorboardRunData Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

google.cloud.aiplatform.v1.VizierService

Methods
AddTrialMeasurement Adds a measurement of the objective metrics to a Trial.
CheckTrialEarlyStoppingState Checks whether a Trial should stop or not.
CompleteTrial Marks a Trial as complete.
CreateStudy Creates a Study.
CreateTrial Adds a user provided Trial to a Study.
DeleteStudy Deletes a Study.
DeleteTrial Deletes a Trial.
GetStudy Gets a Study by name.
GetTrial Gets a Trial.
ListOptimalTrials Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
ListStudies Lists all the studies in a region for an associated project.
ListTrials Lists the Trials associated with a Study.
LookupStudy Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
StopTrial Stops a Trial.
SuggestTrials Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

google.cloud.aiplatform.v1beta1.DatasetService

Methods
CreateDataset Creates a Dataset.
CreateDatasetVersion Create a version from a Dataset.
DeleteDataset Deletes a Dataset.
DeleteDatasetVersion Deletes a Dataset version.
DeleteSavedQuery Deletes a SavedQuery.
ExportData Exports data from a Dataset.
GetAnnotationSpec Gets an AnnotationSpec.
GetDataset Gets a Dataset.
GetDatasetVersion Gets a Dataset version.
ImportData Imports data into a Dataset.
ListAnnotations Lists Annotations belongs to a dataitem
ListDataItems Lists DataItems in a Dataset.
ListDatasetVersions Lists DatasetVersions in a Dataset.
ListDatasets Lists Datasets in a Location.
ListSavedQueries Lists SavedQueries in a Dataset.
RestoreDatasetVersion Restores a dataset version.
SearchDataItems Searches DataItems in a Dataset.
UpdateDataset Updates a Dataset.
UpdateDatasetVersion Updates a DatasetVersion.

google.cloud.aiplatform.v1beta1.DeploymentResourcePoolService

Methods
CreateDeploymentResourcePool Create a DeploymentResourcePool.
DeleteDeploymentResourcePool Delete a DeploymentResourcePool.
GetDeploymentResourcePool Get a DeploymentResourcePool.
ListDeploymentResourcePools List DeploymentResourcePools in a location.
QueryDeployedModels List DeployedModels that have been deployed on this DeploymentResourcePool.
UpdateDeploymentResourcePool Update a DeploymentResourcePool.

google.cloud.aiplatform.v1beta1.EndpointService

Methods
CreateEndpoint Creates an Endpoint.
DeleteEndpoint Deletes an Endpoint.
DeployModel Deploys a Model into this Endpoint, creating a DeployedModel within it.
GetEndpoint Gets an Endpoint.
ListEndpoints Lists Endpoints in a Location.
MutateDeployedModel Updates an existing deployed model.
UndeployModel Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
UpdateEndpoint Updates an Endpoint.

google.cloud.aiplatform.v1beta1.EvaluationService

Methods
EvaluateInstances Evaluates instances based on a given metric.

google.cloud.aiplatform.v1beta1.ExtensionExecutionService

Methods
ExecuteExtension Executes the request against a given extension.
QueryExtension Queries an extension with a default controller.

google.cloud.aiplatform.v1beta1.ExtensionRegistryService

Methods
DeleteExtension Deletes an Extension.
GetExtension Gets an Extension.
ImportExtension Imports an Extension.
ListExtensions Lists Extensions in a location.
UpdateExtension Updates an Extension.

google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService

Methods
CreateFeatureOnlineStore Creates a new FeatureOnlineStore in a given project and location.
CreateFeatureView Creates a new FeatureView in a given FeatureOnlineStore.
DeleteFeatureOnlineStore Deletes a single FeatureOnlineStore.
DeleteFeatureView Deletes a single FeatureView.
GetFeatureOnlineStore Gets details of a single FeatureOnlineStore.
GetFeatureView Gets details of a single FeatureView.
GetFeatureViewSync Gets details of a single FeatureViewSync.
ListFeatureOnlineStores Lists FeatureOnlineStores in a given project and location.
ListFeatureViewSyncs Lists FeatureViewSyncs in a given FeatureView.
ListFeatureViews Lists FeatureViews in a given FeatureOnlineStore.
SyncFeatureView Triggers on-demand sync for the FeatureView.
UpdateFeatureOnlineStore Updates the parameters of a single FeatureOnlineStore.
UpdateFeatureView Updates the parameters of a single FeatureView.

google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService

Methods
FetchFeatureValues Fetch feature values under a FeatureView.
SearchNearestEntities Search the nearest entities under a FeatureView.
StreamingFetchFeatureValues Bidirectional streaming RPC to fetch feature values under a FeatureView.

google.cloud.aiplatform.v1beta1.FeatureRegistryService

Methods
CreateFeature Creates a new Feature in a given FeatureGroup.
CreateFeatureGroup Creates a new FeatureGroup in a given project and location.
DeleteFeature Deletes a single Feature.
DeleteFeatureGroup Deletes a single FeatureGroup.
GetFeature Gets details of a single Feature.
GetFeatureGroup Gets details of a single FeatureGroup.
ListFeatureGroups Lists FeatureGroups in a given project and location.
ListFeatures Lists Features in a given FeatureGroup.
UpdateFeature Updates the parameters of a single Feature.
UpdateFeatureGroup Updates the parameters of a single FeatureGroup.

google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService

Methods
ReadFeatureValues Reads Feature values of a specific entity of an EntityType.
StreamingReadFeatureValues Reads Feature values for multiple entities.
WriteFeatureValues Writes Feature values of one or more entities of an EntityType.

google.cloud.aiplatform.v1beta1.FeaturestoreService

Methods
BatchCreateFeatures Creates a batch of Features in a given EntityType.
BatchReadFeatureValues Batch reads Feature values from a Featurestore.
CreateEntityType Creates a new EntityType in a given Featurestore.
CreateFeature Creates a new Feature in a given EntityType.
CreateFeaturestore Creates a new Featurestore in a given project and location.
DeleteEntityType Deletes a single EntityType.
DeleteFeature Deletes a single Feature.
DeleteFeatureValues Delete Feature values from Featurestore.
DeleteFeaturestore Deletes a single Featurestore.
ExportFeatureValues Exports Feature values from all the entities of a target EntityType.
GetEntityType Gets details of a single EntityType.
GetFeature Gets details of a single Feature.
GetFeaturestore Gets details of a single Featurestore.
ImportFeatureValues Imports Feature values into the Featurestore from a source storage.
ListEntityTypes Lists EntityTypes in a given Featurestore.
ListFeatures Lists Features in a given EntityType.
ListFeaturestores Lists Featurestores in a given project and location.
SearchFeatures Searches Features matching a query in a given project.
UpdateEntityType Updates the parameters of a single EntityType.
UpdateFeature Updates the parameters of a single Feature.
UpdateFeaturestore Updates the parameters of a single Featurestore.

google.cloud.aiplatform.v1beta1.GenAiCacheConfigService

Methods
GetCacheConfig Gets a GenAI cache config.
UpdateCacheConfig Updates a cache config.

google.cloud.aiplatform.v1beta1.GenAiCacheService

Methods
CreateCachedContent Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.
DeleteCachedContent Deletes cached content
GetCachedContent Gets cached content configurations
ListCachedContents Lists cached contents in a project
UpdateCachedContent Updates cached content configurations

google.cloud.aiplatform.v1beta1.GenAiTuningService

Methods
CancelTuningJob Cancels a TuningJob.
CreateTuningJob Creates a TuningJob.
GetTuningJob Gets a TuningJob.
ListTuningJobs Lists TuningJobs in a Location.

google.cloud.aiplatform.v1beta1.IndexEndpointService

Methods
CreateIndexEndpoint Creates an IndexEndpoint.
DeleteIndexEndpoint Deletes an IndexEndpoint.
DeployIndex Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
GetIndexEndpoint Gets an IndexEndpoint.
ListIndexEndpoints Lists IndexEndpoints in a Location.
MutateDeployedIndex Update an existing DeployedIndex under an IndexEndpoint.
UndeployIndex Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
UpdateIndexEndpoint Updates an IndexEndpoint.

google.cloud.aiplatform.v1beta1.IndexService

Methods
CreateIndex Creates an Index.
DeleteIndex Deletes an Index.
GetIndex Gets an Index.
ListIndexes Lists Indexes in a Location.
RemoveDatapoints Remove Datapoints from an Index.
UpdateIndex Updates an Index.
UpsertDatapoints Add/update Datapoints into an Index.

google.cloud.aiplatform.v1beta1.JobService

Methods
CancelBatchPredictionJob Cancels a BatchPredictionJob.
CancelCustomJob Cancels a CustomJob.
CancelDataLabelingJob Cancels a DataLabelingJob.
CancelHyperparameterTuningJob Cancels a HyperparameterTuningJob.
CreateBatchPredictionJob Creates a BatchPredictionJob.
CreateCustomJob Creates a CustomJob.
CreateDataLabelingJob Creates a DataLabelingJob.
CreateHyperparameterTuningJob Creates a HyperparameterTuningJob
CreateModelDeploymentMonitoringJob Creates a ModelDeploymentMonitoringJob.
DeleteBatchPredictionJob Deletes a BatchPredictionJob.
DeleteCustomJob Deletes a CustomJob.
DeleteDataLabelingJob Deletes a DataLabelingJob.
DeleteHyperparameterTuningJob Deletes a HyperparameterTuningJob.
DeleteModelDeploymentMonitoringJob Deletes a ModelDeploymentMonitoringJob.
GetBatchPredictionJob Gets a BatchPredictionJob
GetCustomJob Gets a CustomJob.
GetDataLabelingJob Gets a DataLabelingJob.
GetHyperparameterTuningJob Gets a HyperparameterTuningJob
GetModelDeploymentMonitoringJob Gets a ModelDeploymentMonitoringJob.
ListBatchPredictionJobs Lists BatchPredictionJobs in a Location.
ListCustomJobs Lists CustomJobs in a Location.
ListDataLabelingJobs Lists DataLabelingJobs in a Location.
ListHyperparameterTuningJobs Lists HyperparameterTuningJobs in a Location.
ListModelDeploymentMonitoringJobs Lists ModelDeploymentMonitoringJobs in a Location.
PauseModelDeploymentMonitoringJob Pauses a ModelDeploymentMonitoringJob.
ResumeModelDeploymentMonitoringJob Resumes a paused ModelDeploymentMonitoringJob.
SearchModelDeploymentMonitoringStatsAnomalies Searches Model Monitoring Statistics generated within a given time window.
UpdateModelDeploymentMonitoringJob Updates a ModelDeploymentMonitoringJob.

google.cloud.aiplatform.v1beta1.LlmUtilityService

Methods
ComputeTokens Return a list of tokens based on the input text.

google.cloud.aiplatform.v1beta1.MatchService

Methods

google.cloud.aiplatform.v1beta1.MetadataService

Methods
AddContextArtifactsAndExecutions Adds a set of Artifacts and Executions to a Context.
AddContextChildren Adds a set of Contexts as children to a parent Context.
AddExecutionEvents Adds Events to the specified Execution.
CreateArtifact Creates an Artifact associated with a MetadataStore.
CreateContext Creates a Context associated with a MetadataStore.
CreateExecution Creates an Execution associated with a MetadataStore.
CreateMetadataSchema Creates a MetadataSchema.
CreateMetadataStore Initializes a MetadataStore, including allocation of resources.
DeleteArtifact Deletes an Artifact.
DeleteContext Deletes a stored Context.
DeleteExecution Deletes an Execution.
DeleteMetadataStore Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
GetArtifact Retrieves a specific Artifact.
GetContext Retrieves a specific Context.
GetExecution Retrieves a specific Execution.
GetMetadataSchema Retrieves a specific MetadataSchema.
GetMetadataStore Retrieves a specific MetadataStore.
ListArtifacts Lists Artifacts in the MetadataStore.
ListContexts Lists Contexts on the MetadataStore.
ListExecutions Lists Executions in the MetadataStore.
ListMetadataSchemas Lists MetadataSchemas.
ListMetadataStores Lists MetadataStores for a Location.
PurgeArtifacts Purges Artifacts.
PurgeContexts Purges Contexts.
PurgeExecutions Purges Executions.
QueryArtifactLineageSubgraph Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
QueryContextLineageSubgraph Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
QueryExecutionInputsAndOutputs Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
RemoveContextChildren Remove a set of children contexts from a parent Context.
UpdateArtifact Updates a stored Artifact.
UpdateContext Updates a stored Context.
UpdateExecution Updates a stored Execution.

google.cloud.aiplatform.v1beta1.MigrationService

Methods
BatchMigrateResources Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
SearchMigratableResources Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

google.cloud.aiplatform.v1beta1.ModelGardenService

Methods
GetPublisherModel Gets a Model Garden publisher model.
ListPublisherModels Lists publisher models in Model Garden.

google.cloud.aiplatform.v1beta1.ModelMonitoringService

Methods
CreateModelMonitor Creates a ModelMonitor.
CreateModelMonitoringJob Creates a ModelMonitoringJob.
DeleteModelMonitor Deletes a ModelMonitor.
DeleteModelMonitoringJob Deletes a ModelMonitoringJob.
GetModelMonitor Gets a ModelMonitor.
GetModelMonitoringJob Gets a ModelMonitoringJob.
ListModelMonitoringJobs Lists ModelMonitoringJobs.
ListModelMonitors Lists ModelMonitors in a Location.
SearchModelMonitoringAlerts Returns the Model Monitoring alerts.
SearchModelMonitoringStats Searches Model Monitoring Stats generated within a given time window.
UpdateModelMonitor Updates a ModelMonitor.

google.cloud.aiplatform.v1beta1.ModelService

Methods
BatchImportEvaluatedAnnotations Imports a list of externally generated EvaluatedAnnotations.
BatchImportModelEvaluationSlices Imports a list of externally generated ModelEvaluationSlice.
CopyModel Copies an already existing Vertex AI Model into the specified Location.
DeleteModel Deletes a Model.
DeleteModelVersion Deletes a Model version.
ExportModel Exports a trained, exportable Model to a location specified by the user.
GetModel Gets a Model.
GetModelEvaluation Gets a ModelEvaluation.
GetModelEvaluationSlice Gets a ModelEvaluationSlice.
ImportModelEvaluation Imports an externally generated ModelEvaluation.
ListModelEvaluationSlices Lists ModelEvaluationSlices in a ModelEvaluation.
ListModelEvaluations Lists ModelEvaluations in a Model.
ListModelVersions Lists versions of the specified model.
ListModels Lists Models in a Location.
MergeVersionAliases Merges a set of aliases for a Model version.
UpdateExplanationDataset Incrementally update the dataset used for an examples model.
UpdateModel Updates a Model.
UploadModel Uploads a Model artifact into Vertex AI.

google.cloud.aiplatform.v1beta1.NotebookService

Methods
AssignNotebookRuntime Assigns a NotebookRuntime to a user for a particular Notebook file.
CreateNotebookExecutionJob Creates a NotebookExecutionJob.
CreateNotebookRuntimeTemplate Creates a NotebookRuntimeTemplate.
DeleteNotebookExecutionJob Deletes a NotebookExecutionJob.
DeleteNotebookRuntime Deletes a NotebookRuntime.
DeleteNotebookRuntimeTemplate Deletes a NotebookRuntimeTemplate.
GetNotebookExecutionJob Gets a NotebookExecutionJob.
GetNotebookRuntime Gets a NotebookRuntime.
GetNotebookRuntimeTemplate Gets a NotebookRuntimeTemplate.
ListNotebookExecutionJobs Lists NotebookExecutionJobs in a Location.
ListNotebookRuntimeTemplates Lists NotebookRuntimeTemplates in a Location.
ListNotebookRuntimes Lists NotebookRuntimes in a Location.
StartNotebookRuntime Starts a NotebookRuntime.
UpdateNotebookRuntimeTemplate Updates a NotebookRuntimeTemplate.
UpgradeNotebookRuntime Upgrades a NotebookRuntime.

google.cloud.aiplatform.v1beta1.PersistentResourceService

Methods
CreatePersistentResource Creates a PersistentResource.
DeletePersistentResource Deletes a PersistentResource.
GetPersistentResource Gets a PersistentResource.
ListPersistentResources Lists PersistentResources in a Location.
RebootPersistentResource Reboots a PersistentResource.
UpdatePersistentResource Updates a PersistentResource.

google.cloud.aiplatform.v1beta1.PipelineService

Methods
BatchCancelPipelineJobs Batch cancel PipelineJobs.
BatchDeletePipelineJobs Batch deletes PipelineJobs The Operation is atomic.
CancelPipelineJob Cancels a PipelineJob.
CancelTrainingPipeline Cancels a TrainingPipeline.
CreatePipelineJob Creates a PipelineJob.
CreateTrainingPipeline Creates a TrainingPipeline.
DeletePipelineJob Deletes a PipelineJob.