Cloud AutoML API

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


The Service name is needed to create RPC client stubs.

CreateDataset Creates a dataset.
CreateModel Creates a model.
DeleteDataset Deletes a dataset and all of its contents.
DeleteModel Deletes a model.
DeployModel Deploys a model.
ExportData Exports dataset's data to the provided output location.
ExportModel Exports a trained, "export-able", model to a user specified Google Cloud Storage location.
GetAnnotationSpec Gets an annotation spec.
GetDataset Gets a dataset.
GetModel Gets a model.
GetModelEvaluation Gets a model evaluation.
ImportData Imports data into a dataset.
ListDatasets Lists datasets in a project.
ListModelEvaluations Lists model evaluations.
ListModels Lists models.
UndeployModel Removes a deployed model.
UpdateDataset Updates a dataset.

Predict Perform an online prediction.

GetLocation Gets information about a location.
ListLocations Lists information about the supported locations for this service.


GetIamPolicy Gets the access control policy for a resource.
SetIamPolicy Sets the access control policy on the specified resource.
TestIamPermissions Returns permissions that a caller has on the specified resource.


CancelOperation Starts asynchronous cancellation on a long-running operation.
DeleteOperation Deletes a long-running operation.
GetOperation Gets the latest state of a long-running operation.
ListOperations Lists operations that match the specified filter in the request.
WaitOperation Waits for the specified long-running operation until it is done or reaches at most a specified timeout, returning the latest state.
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