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 | |
---|---|
|
Creates a Dataset. |
|
Create a version from a Dataset. |
|
Deletes a Dataset. |
|
Deletes a Dataset version. |
|
Deletes a SavedQuery. |
|
Exports data from a Dataset. |
|
Gets an AnnotationSpec. |
|
Gets a Dataset. |
|
Gets a Dataset version. |
|
Imports data into a Dataset. |
|
Lists Annotations belongs to a dataitem This RPC is only available in InternalDatasetService. |
|
Lists DataItems in a Dataset. |
|
Lists DatasetVersions in a Dataset. |
|
Lists Datasets in a Location. |
|
Lists SavedQueries in a Dataset. |
|
Restores a dataset version. |
|
Searches DataItems in a Dataset. |
|
Updates a Dataset. |
|
Updates a DatasetVersion. |
google.cloud.aiplatform.v1.DeploymentResourcePoolService
Methods | |
---|---|
|
Create a DeploymentResourcePool. |
|
Delete a DeploymentResourcePool. |
|
Get a DeploymentResourcePool. |
|
List DeploymentResourcePools in a location. |
|
List DeployedModels that have been deployed on this DeploymentResourcePool. |
|
Update a DeploymentResourcePool. |
google.cloud.aiplatform.v1.EndpointService
Methods | |
---|---|
|
Creates an Endpoint. |
|
Deletes an Endpoint. |
|
Deploys a Model into this Endpoint, creating a DeployedModel within it. |
|
Gets an Endpoint. |
|
Lists Endpoints in a Location. |
|
Updates an existing deployed model. |
|
Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using. |
|
Updates an Endpoint. |
google.cloud.aiplatform.v1.EvaluationService
Methods | |
---|---|
|
Evaluates instances based on a given metric. |
google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService
Methods | |
---|---|
|
Creates a new FeatureOnlineStore in a given project and location. |
|
Creates a new FeatureView in a given FeatureOnlineStore. |
|
Deletes a single FeatureOnlineStore. |
|
Deletes a single FeatureView. |
|
Gets details of a single FeatureOnlineStore. |
|
Gets details of a single FeatureView. |
|
Gets details of a single FeatureViewSync. |
|
Lists FeatureOnlineStores in a given project and location. |
|
Lists FeatureViewSyncs in a given FeatureView. |
|
Lists FeatureViews in a given FeatureOnlineStore. |
|
Triggers on-demand sync for the FeatureView. |
|
Updates the parameters of a single FeatureOnlineStore. |
|
Updates the parameters of a single FeatureView. |
google.cloud.aiplatform.v1.FeatureOnlineStoreService
Methods | |
---|---|
|
Fetch feature values under a FeatureView. |
|
Search the nearest entities under a FeatureView. |
google.cloud.aiplatform.v1.FeatureRegistryService
Methods | |
---|---|
|
Creates a batch of Features in a given FeatureGroup. |
|
Creates a new Feature in a given FeatureGroup. |
|
Creates a new FeatureGroup in a given project and location. |
|
Deletes a single Feature. |
|
Deletes a single FeatureGroup. |
|
Gets details of a single Feature. |
|
Gets details of a single FeatureGroup. |
|
Lists FeatureGroups in a given project and location. |
|
Lists Features in a given FeatureGroup. |
|
Updates the parameters of a single Feature. |
|
Updates the parameters of a single FeatureGroup. |
google.cloud.aiplatform.v1.FeaturestoreOnlineServingService
Methods | |
---|---|
|
Reads Feature values of a specific entity of an EntityType. |
|
Reads Feature values for multiple entities. |
|
Writes Feature values of one or more entities of an EntityType. |
google.cloud.aiplatform.v1.FeaturestoreService
Methods | |
---|---|
|
Creates a batch of Features in a given EntityType. |
|
Batch reads Feature values from a Featurestore. |
|
Creates a new EntityType in a given Featurestore. |
|
Creates a new Feature in a given EntityType. |
|
Creates a new Featurestore in a given project and location. |
|
Deletes a single EntityType. |
|
Deletes a single Feature. |
|
Delete Feature values from Featurestore. |
|
Deletes a single Featurestore. |
|
Exports Feature values from all the entities of a target EntityType. |
|
Gets details of a single EntityType. |
|
Gets details of a single Feature. |
|
Gets details of a single Featurestore. |
|
Imports Feature values into the Featurestore from a source storage. |
|
Lists EntityTypes in a given Featurestore. |
|
Lists Features in a given EntityType. |
|
Lists Featurestores in a given project and location. |
|
Searches Features matching a query in a given project. |
|
Updates the parameters of a single EntityType. |
|
Updates the parameters of a single Feature. |
|
Updates the parameters of a single Featurestore. |
google.cloud.aiplatform.v1.GenAiTuningService
Methods | |
---|---|
|
Cancels a TuningJob. |
|
Creates a TuningJob. |
|
Gets a TuningJob. |
|
Lists TuningJobs in a Location. |
|
Rebase a TunedModel. |
google.cloud.aiplatform.v1.IndexEndpointService
Methods | |
---|---|
|
Creates an IndexEndpoint. |
|
Deletes an IndexEndpoint. |
|
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. |
|
Gets an IndexEndpoint. |
|
Lists IndexEndpoints in a Location. |
|
Update an existing DeployedIndex under an IndexEndpoint. |
|
Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using. |
|
Updates an IndexEndpoint. |
google.cloud.aiplatform.v1.IndexService
Methods | |
---|---|
|
Creates an Index. |
|
Deletes an Index. |
|
Gets an Index. |
|
Lists Indexes in a Location. |
|
Remove Datapoints from an Index. |
|
Updates an Index. |
|
Add/update Datapoints into an Index. |
google.cloud.aiplatform.v1.JobService
Methods | |
---|---|
|
Cancels a BatchPredictionJob. |
|
Cancels a CustomJob. |
|
Cancels a HyperparameterTuningJob. |
|
Cancels a NasJob. |
|
Creates a BatchPredictionJob. |
|
Creates a CustomJob. |
|
Creates a HyperparameterTuningJob |
|
Creates a ModelDeploymentMonitoringJob. |
|
Creates a NasJob |
|
Deletes a BatchPredictionJob. |
|
Deletes a CustomJob. |
|
Deletes a HyperparameterTuningJob. |
|
Deletes a ModelDeploymentMonitoringJob. |
|
Deletes a NasJob. |
|
Gets a BatchPredictionJob |
|
Gets a CustomJob. |
|
Gets a HyperparameterTuningJob |
|
Gets a ModelDeploymentMonitoringJob. |
|
Gets a NasJob |
|
Gets a NasTrialDetail. |
|
Lists BatchPredictionJobs in a Location. |
|
Lists CustomJobs in a Location. |
|
Lists HyperparameterTuningJobs in a Location. |
|
Lists ModelDeploymentMonitoringJobs in a Location. |
|
Lists NasJobs in a Location. |
|
List top NasTrialDetails of a NasJob. |
|
Pauses a ModelDeploymentMonitoringJob. |
|
Resumes a paused ModelDeploymentMonitoringJob. |
|
Searches Model Monitoring Statistics generated within a given time window. |
|
Updates a ModelDeploymentMonitoringJob. |
google.cloud.aiplatform.v1.LlmUtilityService
Methods | |
---|---|
|
Return a list of tokens based on the input text. |
|
Perform a token counting. |
google.cloud.aiplatform.v1.MatchService
Methods |
---|
google.cloud.aiplatform.v1.MetadataService
Methods | |
---|---|
|
Adds a set of Artifacts and Executions to a Context. |
|
Adds a set of Contexts as children to a parent Context. |
|
Adds Events to the specified Execution. |
|
Creates an Artifact associated with a MetadataStore. |
|
Creates a Context associated with a MetadataStore. |
|
Creates an Execution associated with a MetadataStore. |
|
Creates a MetadataSchema. |
|
Initializes a MetadataStore, including allocation of resources. |
|
Deletes an Artifact. |
|
Deletes a stored Context. |
|
Deletes an Execution. |
|
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts). |
|
Retrieves a specific Artifact. |
|
Retrieves a specific Context. |
|
Retrieves a specific Execution. |
|
Retrieves a specific MetadataSchema. |
|
Retrieves a specific MetadataStore. |
|
Lists Artifacts in the MetadataStore. |
|
Lists Contexts on the MetadataStore. |
|
Lists Executions in the MetadataStore. |
|
Lists MetadataSchemas. |
|
Lists MetadataStores for a Location. |
|
Purges Artifacts. |
|
Purges Contexts. |
|
Purges Executions. |
|
Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph. |
|
Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph. |
|
Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events. |
|
Remove a set of children contexts from a parent Context. |
|
Updates a stored Artifact. |
|
Updates a stored Context. |
|
Updates a stored Execution. |
google.cloud.aiplatform.v1.MigrationService
Methods | |
---|---|
|
Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI. |
|
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 | |
---|---|
|
Gets a Model Garden publisher model. |
google.cloud.aiplatform.v1.ModelService
Methods | |
---|---|
|
Imports a list of externally generated EvaluatedAnnotations. |
|
Imports a list of externally generated ModelEvaluationSlice. |
|
Copies an already existing Vertex AI Model into the specified Location. |
|
Deletes a Model. |
|
Deletes a Model version. |
|
Exports a trained, exportable Model to a location specified by the user. |
|
Gets a Model. |
|
Gets a ModelEvaluation. |
|
Gets a ModelEvaluationSlice. |
|
Imports an externally generated ModelEvaluation. |
|
Lists ModelEvaluationSlices in a ModelEvaluation. |
|
Lists ModelEvaluations in a Model. |
|
Lists versions of the specified model. |
|
Lists Models in a Location. |
|
Merges a set of aliases for a Model version. |
|
Incrementally update the dataset used for an examples model. |
|
Updates a Model. |
|
Uploads a Model artifact into Vertex AI. |
google.cloud.aiplatform.v1.NotebookService
Methods | |
---|---|
|
Assigns a NotebookRuntime to a user for a particular Notebook file. |
|
Creates a NotebookExecutionJob. |
|
Creates a NotebookRuntimeTemplate. |
|
Deletes a NotebookExecutionJob. |
|
Deletes a NotebookRuntime. |
|
Deletes a NotebookRuntimeTemplate. |
|
Gets a NotebookExecutionJob. |
|
Gets a NotebookRuntime. |
|
Gets a NotebookRuntimeTemplate. |
|
Lists NotebookExecutionJobs in a Location. |
|
Lists NotebookRuntimeTemplates in a Location. |
|
Lists NotebookRuntimes in a Location. |
|
Starts a NotebookRuntime. |
|
Updates a NotebookRuntimeTemplate. |
|
Upgrades a NotebookRuntime. |
google.cloud.aiplatform.v1.PersistentResourceService
Methods | |
---|---|
|
Creates a PersistentResource. |
|
Deletes a PersistentResource. |
|
Gets a PersistentResource. |
|
Lists PersistentResources in a Location. |
|
Reboots a PersistentResource. |
|
Updates a PersistentResource. |
google.cloud.aiplatform.v1.PipelineService
Methods | |
---|---|
|
Batch cancel PipelineJobs. |
|
Batch deletes PipelineJobs The Operation is atomic. |
|
Cancels a PipelineJob. |
|
Cancels a TrainingPipeline. |
|
Creates a PipelineJob. |
|
Creates a TrainingPipeline. |
|
Deletes a PipelineJob. |
|
Deletes a TrainingPipeline. |
|
Gets a PipelineJob. |
|
Gets a TrainingPipeline. |
|
Lists PipelineJobs in a Location. |
|
Lists TrainingPipelines in a Location. |
google.cloud.aiplatform.v1.PredictionService
Methods | |
---|---|
|
Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks. |
|
Perform an unary online prediction request to a gRPC model server for custom containers. |
|
Perform an online explanation. |
|
Generate content with multimodal inputs. |
|
Perform an online prediction. |
|
Perform an online prediction with an arbitrary HTTP payload. |
|
Perform a server-side streaming online prediction request for Vertex LLM streaming. |
|
Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks. |
|
Perform a streaming online prediction request to a gRPC model server for custom containers. |
|
Generate content with multimodal inputs with streaming support. |
|
Perform a streaming online prediction with an arbitrary HTTP payload. |
|
Perform a streaming online prediction request for Vertex first-party products and frameworks. |
|
Perform a streaming online prediction request through gRPC. |
google.cloud.aiplatform.v1.ScheduleService
Methods | |
---|---|
|
Creates a Schedule. |
|
Deletes a Schedule. |
|
Gets a Schedule. |
|
Lists Schedules in a Location. |
|
Pauses a Schedule. |
|
Resumes a paused Schedule to start scheduling new runs. |
|
Updates an active or paused Schedule. |
google.cloud.aiplatform.v1.SpecialistPoolService
Methods | |
---|---|
|
Creates a SpecialistPool. |
|
Deletes a SpecialistPool as well as all Specialists in the pool. |
|
Gets a SpecialistPool. |
|
Lists SpecialistPools in a Location. |
|
Updates a SpecialistPool. |
google.cloud.aiplatform.v1.TensorboardService
Methods | |
---|---|
|
Batch create TensorboardRuns. |
|
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment. |
|
Reads multiple TensorboardTimeSeries' data. |
|
Creates a Tensorboard. |
|
Creates a TensorboardExperiment. |
|
Creates a TensorboardRun. |
|
Creates a TensorboardTimeSeries. |
|
Deletes a Tensorboard. |
|
Deletes a TensorboardExperiment. |
|
Deletes a TensorboardRun. |
|
Deletes a TensorboardTimeSeries. |
|
Exports a TensorboardTimeSeries' data. |
|
Gets a Tensorboard. |
|
Gets a TensorboardExperiment. |
|
Gets a TensorboardRun. |
|
Gets a TensorboardTimeSeries. |
|
Lists TensorboardExperiments in a Location. |
|
Lists TensorboardRuns in a Location. |
|
Lists TensorboardTimeSeries in a Location. |
|
Lists Tensorboards in a Location. |
|
Gets bytes of TensorboardBlobs. |
|
Returns the storage size for a given TensorBoard instance. |
|
Reads a TensorboardTimeSeries' data. |
|
Returns a list of monthly active users for a given TensorBoard instance. |
|
Updates a Tensorboard. |
|
Updates a TensorboardExperiment. |
|
Updates a TensorboardRun. |
|
Updates a TensorboardTimeSeries. |
|
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. |
|
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. |
google.cloud.aiplatform.v1.VizierService
Methods | |
---|---|
|
Adds a measurement of the objective metrics to a Trial. |
|
Checks whether a Trial should stop or not. |
|
Marks a Trial as complete. |
|
Creates a Study. |
|
Adds a user provided Trial to a Study. |
|
Deletes a Study. |
|
Deletes a Trial. |
|
Gets a Study by name. |
|
Gets a Trial. |
|
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study. |
|
Lists all the studies in a region for an associated project. |
|
Lists the Trials associated with a Study. |
|
Looks a study up using the user-defined display_name field instead of the fully qualified resource name. |
|
Stops a Trial. |
|
Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier. |
google.cloud.aiplatform.v1beta1.DatasetService
Methods | |
---|---|
|
Creates a Dataset. |
|
Create a version from a Dataset. |
|
Deletes a Dataset. |
|
Deletes a Dataset version. |
|
Deletes a SavedQuery. |
|
Exports data from a Dataset. |
|
Gets an AnnotationSpec. |
|
Gets a Dataset. |
|
Gets a Dataset version. |
|
Imports data into a Dataset. |
|
Lists Annotations belongs to a dataitem This RPC is only available in InternalDatasetService. |
|
Lists DataItems in a Dataset. |
|
Lists DatasetVersions in a Dataset. |
|
Lists Datasets in a Location. |
|
Lists SavedQueries in a Dataset. |
|
Restores a dataset version. |
|
Searches DataItems in a Dataset. |
|
Updates a Dataset. |
|
Updates a DatasetVersion. |
google.cloud.aiplatform.v1beta1.DeploymentResourcePoolService
Methods | |
---|---|
|
Create a DeploymentResourcePool. |
|
Delete a DeploymentResourcePool. |
|
Get a DeploymentResourcePool. |
|
List DeploymentResourcePools in a location. |
|
List DeployedModels that have been deployed on this DeploymentResourcePool. |
|
Update a DeploymentResourcePool. |
google.cloud.aiplatform.v1beta1.EndpointService
Methods | |
---|---|
|
Creates an Endpoint. |
|
Deletes an Endpoint. |
|
Deploys a Model into this Endpoint, creating a DeployedModel within it. |
|
Gets an Endpoint. |
|
Lists Endpoints in a Location. |
|
Updates an existing deployed model. |
|
Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using. |
|
Updates an Endpoint. |
google.cloud.aiplatform.v1beta1.EvaluationService
Methods | |
---|---|
|
Evaluates instances based on a given metric. |
google.cloud.aiplatform.v1beta1.ExtensionExecutionService
Methods | |
---|---|
|
Executes the request against a given extension. |
|
Queries an extension with a default controller. |
google.cloud.aiplatform.v1beta1.ExtensionRegistryService
Methods | |
---|---|
|
Deletes an Extension. |
|
Gets an Extension. |
|
Imports an Extension. |
|
Lists Extensions in a location. |
|
Updates an Extension. |
google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService
Methods | |
---|---|
|
Creates a new FeatureOnlineStore in a given project and location. |
|
Creates a new FeatureView in a given FeatureOnlineStore. |
|
Deletes a single FeatureOnlineStore. |
|
Deletes a single FeatureView. |
|
Gets details of a single FeatureOnlineStore. |
|
Gets details of a single FeatureView. |
|
Gets details of a single FeatureViewSync. |
|
Lists FeatureOnlineStores in a given project and location. |
|
Lists FeatureViewSyncs in a given FeatureView. |
|
Lists FeatureViews in a given FeatureOnlineStore. |
|
Triggers on-demand sync for the FeatureView. |
|
Updates the parameters of a single FeatureOnlineStore. |
|
Updates the parameters of a single FeatureView. |
google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService
Methods | |
---|---|
|
Fetch feature values under a FeatureView. |
|
Search the nearest entities under a FeatureView. |
|
Bidirectional streaming RPC to fetch feature values under a FeatureView. |
google.cloud.aiplatform.v1beta1.FeatureRegistryService
Methods | |
---|---|
|
Creates a batch of Features in a given FeatureGroup. |
|
Creates a new Feature in a given FeatureGroup. |
|
Creates a new FeatureGroup in a given project and location. |
|
Deletes a single Feature. |
|
Deletes a single FeatureGroup. |
|
Gets details of a single Feature. |
|
Gets details of a single FeatureGroup. |
|
Lists FeatureGroups in a given project and location. |
|
Lists Features in a given FeatureGroup. |
|
Updates the parameters of a single Feature. |
|
Updates the parameters of a single FeatureGroup. |
google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
Methods | |
---|---|
|
Reads Feature values of a specific entity of an EntityType. |
|
Reads Feature values for multiple entities. |
|
Writes Feature values of one or more entities of an EntityType. |
google.cloud.aiplatform.v1beta1.FeaturestoreService
Methods | |
---|---|
|
Creates a batch of Features in a given EntityType. |
|
Batch reads Feature values from a Featurestore. |
|
Creates a new EntityType in a given Featurestore. |
|
Creates a new Feature in a given EntityType. |
|
Creates a new Featurestore in a given project and location. |
|
Deletes a single EntityType. |
|
Deletes a single Feature. |
|
Delete Feature values from Featurestore. |
|
Deletes a single Featurestore. |
|
Exports Feature values from all the entities of a target EntityType. |
|
Gets details of a single EntityType. |
|
Gets details of a single Feature. |
|
Gets details of a single Featurestore. |
|
Imports Feature values into the Featurestore from a source storage. |
|
Lists EntityTypes in a given Featurestore. |
|
Lists Features in a given EntityType. |
|
Lists Featurestores in a given project and location. |
|
Searches Features matching a query in a given project. |
|
Updates the parameters of a single EntityType. |
|
Updates the parameters of a single Feature. |
|
Updates the parameters of a single Featurestore. |
google.cloud.aiplatform.v1beta1.GenAiCacheConfigService
Methods | |
---|---|
|
Gets a GenAI cache config. |
|
Updates a cache config. |
google.cloud.aiplatform.v1beta1.GenAiCacheService
Methods | |
---|---|
|
Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage. |
|
Deletes cached content |
|
Gets cached content configurations |
|
Lists cached contents in a project |
|
Updates cached content configurations |
google.cloud.aiplatform.v1beta1.GenAiTuningService
Methods | |
---|---|
|
Cancels a TuningJob. |
|
Creates a TuningJob. |
|
Gets a TuningJob. |
|
Lists TuningJobs in a Location. |
|
Rebase a TunedModel. |
google.cloud.aiplatform.v1beta1.IndexEndpointService
Methods | |
---|---|
|
Creates an IndexEndpoint. |
|
Deletes an IndexEndpoint. |
|
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. |
|
Gets an IndexEndpoint. |
|
Lists IndexEndpoints in a Location. |
|
Update an existing DeployedIndex under an IndexEndpoint. |
|
Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using. |
|
Updates an IndexEndpoint. |
google.cloud.aiplatform.v1beta1.IndexService
Methods | |
---|---|
|
Creates an Index. |
|
Deletes an Index. |
|
Gets an Index. |
|
Lists Indexes in a Location. |
|
Remove Datapoints from an Index. |
|
Updates an Index. |
|
Add/update Datapoints into an Index. |
google.cloud.aiplatform.v1beta1.JobService
Methods | |
---|---|
|
Cancels a BatchPredictionJob. |
|
Cancels a CustomJob. |
|
Cancels a HyperparameterTuningJob. |
|
Creates a BatchPredictionJob. |
|
Creates a CustomJob. |
|
Creates a HyperparameterTuningJob |
|
Creates a ModelDeploymentMonitoringJob. |
|
Deletes a BatchPredictionJob. |
|
Deletes a CustomJob. |
|
Deletes a HyperparameterTuningJob. |
|
Deletes a ModelDeploymentMonitoringJob. |
|
Gets a BatchPredictionJob |
|
Gets a CustomJob. |
|
Gets a HyperparameterTuningJob |
|
Gets a ModelDeploymentMonitoringJob. |
|
Lists BatchPredictionJobs in a Location. |
|
Lists CustomJobs in a Location. |
|
Lists HyperparameterTuningJobs in a Location. |
|
Lists ModelDeploymentMonitoringJobs in a Location. |
|
Pauses a ModelDeploymentMonitoringJob. |
|
Resumes a paused ModelDeploymentMonitoringJob. |
|
Searches Model Monitoring Statistics generated within a given time window. |
|
Updates a ModelDeploymentMonitoringJob. |
google.cloud.aiplatform.v1beta1.LlmUtilityService
Methods | |
---|---|
|
Return a list of tokens based on the input text. |
google.cloud.aiplatform.v1beta1.MatchService
Methods |
---|
google.cloud.aiplatform.v1beta1.MetadataService
Methods | |
---|---|
|
Adds a set of Artifacts and Executions to a Context. |
|
Adds a set of Contexts as children to a parent Context. |
|
Adds Events to the specified Execution. |
|
Creates an Artifact associated with a MetadataStore. |
|
Creates a Context associated with a MetadataStore. |
|
Creates an Execution associated with a MetadataStore. |
|
Creates a MetadataSchema. |
|
Initializes a MetadataStore, including allocation of resources. |
|
Deletes an Artifact. |
|
Deletes a stored Context. |
|
Deletes an Execution. |
|
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts). |
|
Retrieves a specific Artifact. |
|
Retrieves a specific Context. |
|
Retrieves a specific Execution. |
|
Retrieves a specific MetadataSchema. |
|
Retrieves a specific MetadataStore. |
|
Lists Artifacts in the MetadataStore. |
|
Lists Contexts on the MetadataStore. |
|
Lists Executions in the MetadataStore. |
|
Lists MetadataSchemas. |
|
Lists MetadataStores for a Location. |
|
Purges Artifacts. |
|
Purges Contexts. |
|
Purges Executions. |
|
Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph. |
|
Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph. |
|
Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events. |
|
Remove a set of children contexts from a parent Context. |
|
Updates a stored Artifact. |
|
Updates a stored Context. |
|
Updates a stored Execution. |
google.cloud.aiplatform.v1beta1.MigrationService
Methods | |
---|---|
|
Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI. |
|
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 | |
---|---|
|
Gets a Model Garden publisher model. |
|
Lists publisher models in Model Garden. |
google.cloud.aiplatform.v1beta1.ModelMonitoringService
Methods | |
---|---|
|
Creates a ModelMonitor. |
|
Creates a ModelMonitoringJob. |
|
Deletes a ModelMonitor. |
|
Deletes a ModelMonitoringJob. |
|
Gets a ModelMonitor. |
|
Gets a ModelMonitoringJob. |
|
Lists ModelMonitoringJobs. |
|
Lists ModelMonitors in a Location. |
|
Returns the Model Monitoring alerts. |
|
Searches Model Monitoring Stats generated within a given time window. |
|
Updates a ModelMonitor. |
google.cloud.aiplatform.v1beta1.ModelService
Methods | |
---|---|
|
Imports a list of externally generated EvaluatedAnnotations. |
|
Imports a list of externally generated ModelEvaluationSlice. |
|
Copies an already existing Vertex AI Model into the specified Location. |
|
Deletes a Model. |
|
Deletes a Model version. |
|
Exports a trained, exportable Model to a location specified by the user. |
|
Gets a Model. |
|
Gets a ModelEvaluation. |
|
Gets a ModelEvaluationSlice. |
|
Imports an externally generated ModelEvaluation. |
|
Lists ModelEvaluationSlices in a ModelEvaluation. |
|
Lists ModelEvaluations in a Model. |
|
Lists versions of the specified model. |
|
Lists Models in a Location. |
|
Merges a set of aliases for a Model version. |
|
Incrementally update the dataset used for an examples model. |
|
Updates a Model. |
|
Uploads a Model artifact into Vertex AI. |
google.cloud.aiplatform.v1beta1.NotebookService
Methods | |
---|---|
|
Assigns a NotebookRuntime to a user for a particular Notebook file. |
|
Creates a NotebookExecutionJob. |
|
Creates a NotebookRuntimeTemplate. |
|
Deletes a NotebookExecutionJob. |
|
Deletes a NotebookRuntime. |
|
Deletes a NotebookRuntimeTemplate. |
|
Gets a NotebookExecutionJob. |
|
Gets a NotebookRuntime. |
|
Gets a NotebookRuntimeTemplate. |
|
Lists NotebookExecutionJobs in a Location. |
|
Lists NotebookRuntimeTemplates in a Location. |
|
Lists NotebookRuntimes in a Location. |
|
Starts a NotebookRuntime. |
|
Updates a NotebookRuntimeTemplate. |
|
Upgrades a NotebookRuntime. |
google.cloud.aiplatform.v1beta1.PersistentResourceService
Methods | |
---|---|
|
Creates a PersistentResource. |
|
Deletes a PersistentResource. |
|
Gets a PersistentResource. |
|
Lists PersistentResources in a Location. |
|
Reboots a PersistentResource. |
|
Updates a PersistentResource. |
google.cloud.aiplatform.v1beta1.PipelineService
Methods | |
---|---|
|
Batch cancel PipelineJobs. |
|
Batch deletes PipelineJobs The Operation is atomic. |
|
Cancels a PipelineJob. |
|
Cancels a TrainingPipeline. |
|
Creates a PipelineJob. |
|
Creates a TrainingPipeline. |
|
Deletes a PipelineJob. |
|
Deletes a TrainingPipeline. |
|
Gets a PipelineJob. |
|
Gets a TrainingPipeline. |
|
Lists PipelineJobs in a Location. |
|
Lists TrainingPipelines in a Location. |
google.cloud.aiplatform.v1beta1.PredictionService
Methods | |
---|---|
|
Exposes an OpenAI-compatible endpoint for chat completions. |
|
Perform a token counting. |
|
Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks. |
|
Perform an unary online prediction request to a gRPC model server for custom containers. |
|
Perform an online explanation. |
|
Generate content with multimodal inputs. |
|
Perform an online prediction. |
|
Perform an online prediction with an arbitrary HTTP payload. |
|
Perform a server-side streaming online prediction request for Vertex LLM streaming. |
|
Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks. |
|
Perform a streaming online prediction request to a gRPC model server for custom containers. |
|
Generate content with multimodal inputs with streaming support. |
|
Perform a streaming online prediction with an arbitrary HTTP payload. |
|
Perform a streaming online prediction request for Vertex first-party products and frameworks. |
|
Perform a streaming online prediction request through gRPC. |
google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService
Methods | |
---|---|
|
Queries using a reasoning engine. |
google.cloud.aiplatform.v1beta1.ReasoningEngineService
Methods | |
---|---|
|
Creates a reasoning engine. |
|
Deletes a reasoning engine. |
|
Gets a reasoning engine. |
|
Lists reasoning engines in a location. |
|
Updates a reasoning engine. |
google.cloud.aiplatform.v1beta1.ScheduleService
Methods | |
---|---|
|
Creates a Schedule. |
|
Deletes a Schedule. |
|
Gets a Schedule. |
|
Lists Schedules in a Location. |
|
Pauses a Schedule. |
|
Resumes a paused Schedule to start scheduling new runs. |
|
Updates an active or paused Schedule. |
google.cloud.aiplatform.v1beta1.SpecialistPoolService
Methods | |
---|---|
|
Creates a SpecialistPool. |
|
Deletes a SpecialistPool as well as all Specialists in the pool. |
|
Gets a SpecialistPool. |
|
Lists SpecialistPools in a Location. |
|
Updates a SpecialistPool. |
google.cloud.aiplatform.v1beta1.TensorboardService
Methods | |
---|---|
|
Batch create TensorboardRuns. |
|
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment. |
|
Reads multiple TensorboardTimeSeries' data. |
|
Creates a Tensorboard. |
|
Creates a TensorboardExperiment. |
|
Creates a TensorboardRun. |
|
Creates a TensorboardTimeSeries. |
|
Deletes a Tensorboard. |
|
Deletes a TensorboardExperiment. |
|
Deletes a TensorboardRun. |
|
Deletes a TensorboardTimeSeries. |
|
Exports a TensorboardTimeSeries' data. |
|
Gets a Tensorboard. |
|
Gets a TensorboardExperiment. |
|
Gets a TensorboardRun. |
|
Gets a TensorboardTimeSeries. |
|
Lists TensorboardExperiments in a Location. |
|
Lists TensorboardRuns in a Location. |
|
Lists TensorboardTimeSeries in a Location. |
|
Lists Tensorboards in a Location. |
|
Gets bytes of TensorboardBlobs. |
|
Returns the storage size for a given TensorBoard instance. |
|
Reads a TensorboardTimeSeries' data. |
|
Returns a list of monthly active users for a given TensorBoard instance. |
|
Updates a Tensorboard. |
|
Updates a TensorboardExperiment. |
|
Updates a TensorboardRun. |
|
Updates a TensorboardTimeSeries. |
|
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. |
|
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. |
google.cloud.aiplatform.v1beta1.VertexRagDataService
Methods | |
---|---|
|
Creates a RagCorpus. |
|
Deletes a RagCorpus. |
|
Deletes a RagFile. |
|
Gets a RagCorpus. |
|
Gets a RagFile. |
|
Import files from Google Cloud Storage or Google Drive into a RagCorpus. |
|
Lists RagCorpora in a Location. |
|
Lists RagFiles in a RagCorpus. |
|
Updates a RagCorpus. |
google.cloud.aiplatform.v1beta1.VertexRagService
Methods | |
---|---|
|
Retrieves relevant contexts for a query. |
google.cloud.aiplatform.v1beta1.VizierService
Methods | |
---|---|
|
Adds a measurement of the objective metrics to a Trial. |
|
Checks whether a Trial should stop or not. |
|
Marks a Trial as complete. |
|
Creates a Study. |
|
Adds a user provided Trial to a Study. |
|
Deletes a Study. |
|
Deletes a Trial. |
|
Gets a Study by name. |
|
Gets a Trial. |
|
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study. |
|
Lists all the studies in a region for an associated project. |
|
Lists the Trials associated with a Study. |
|
Looks a study up using the user-defined display_name field instead of the fully qualified resource name. |
|
Stops a Trial. |
|
Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier. |
google.iam.v1.IAMPolicy
Methods | |
---|---|
|
Gets the access control policy for a resource. |
|
Sets the access control policy on the specified resource. |
|
Returns permissions that a caller has on the specified resource. |
google.longrunning.Operations
Methods | |
---|---|
|
Starts asynchronous cancellation on a long-running operation. |
|
Deletes a long-running operation. |
|
Gets the latest state of a long-running operation. |
|
Lists operations that match the specified filter in the request. |
|
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. |