Package com.google.cloud.automl.v1

Class AutoMlClient

java.lang.Object
com.google.cloud.automl.v1.AutoMlClient
All Implemented Interfaces:
BackgroundResource, AutoCloseable
@Generated("by gapic-generator-java") public class AutoMlClient extends Object implements BackgroundResource
Service Description: AutoML Server API.

The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.

An ID of a resource is the last element of the item's resource name. For `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then the id for the item is `{dataset_id}`.

Currently the only supported `location_id` is "us-central1".

On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started: 


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   Dataset response = autoMlClient.getDataset(name);
 }

Note: close() needs to be called on the AutoMlClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

Methods
Method Description Method Variants

CreateDataset

Creates a dataset.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • createDatasetAsync(CreateDatasetRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • createDatasetAsync(LocationName parent, Dataset dataset)

  • createDatasetAsync(String parent, Dataset dataset)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • createDatasetOperationCallable()

  • createDatasetCallable()

GetDataset

Gets a dataset.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • getDataset(GetDatasetRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • getDataset(DatasetName name)

  • getDataset(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • getDatasetCallable()

ListDatasets

Lists datasets in a project.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • listDatasets(ListDatasetsRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • listDatasets(LocationName parent)

  • listDatasets(String parent)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • listDatasetsPagedCallable()

  • listDatasetsCallable()

UpdateDataset

Updates a dataset.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • updateDataset(UpdateDatasetRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • updateDataset(Dataset dataset, FieldMask updateMask)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • updateDatasetCallable()

DeleteDataset

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • deleteDatasetAsync(DeleteDatasetRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • deleteDatasetAsync(DatasetName name)

  • deleteDatasetAsync(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • deleteDatasetOperationCallable()

  • deleteDatasetCallable()

ImportData

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

  • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • importDataAsync(ImportDataRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • importDataAsync(DatasetName name, InputConfig inputConfig)

  • importDataAsync(String name, InputConfig inputConfig)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • importDataOperationCallable()

  • importDataCallable()

ExportData

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • exportDataAsync(ExportDataRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • exportDataAsync(DatasetName name, OutputConfig outputConfig)

  • exportDataAsync(String name, OutputConfig outputConfig)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • exportDataOperationCallable()

  • exportDataCallable()

GetAnnotationSpec

Gets an annotation spec.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • getAnnotationSpec(GetAnnotationSpecRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • getAnnotationSpec(AnnotationSpecName name)

  • getAnnotationSpec(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • getAnnotationSpecCallable()

CreateModel

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • createModelAsync(CreateModelRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • createModelAsync(LocationName parent, Model model)

  • createModelAsync(String parent, Model model)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • createModelOperationCallable()

  • createModelCallable()

GetModel

Gets a model.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • getModel(GetModelRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • getModel(ModelName name)

  • getModel(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • getModelCallable()

ListModels

Lists models.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • listModels(ListModelsRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • listModels(LocationName parent)

  • listModels(String parent)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • listModelsPagedCallable()

  • listModelsCallable()

DeleteModel

Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • deleteModelAsync(DeleteModelRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • deleteModelAsync(ModelName name)

  • deleteModelAsync(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • deleteModelOperationCallable()

  • deleteModelCallable()

UpdateModel

Updates a model.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • updateModel(UpdateModelRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • updateModel(Model model, FieldMask updateMask)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • updateModelCallable()

DeployModel

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • deployModelAsync(DeployModelRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • deployModelAsync(ModelName name)

  • deployModelAsync(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • deployModelOperationCallable()

  • deployModelCallable()

UndeployModel

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • undeployModelAsync(UndeployModelRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • undeployModelAsync(ModelName name)

  • undeployModelAsync(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • undeployModelOperationCallable()

  • undeployModelCallable()

ExportModel

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • exportModelAsync(ExportModelRequest request)

Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service.

  • exportModelAsync(ModelName name, ModelExportOutputConfig outputConfig)

  • exportModelAsync(String name, ModelExportOutputConfig outputConfig)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • exportModelOperationCallable()

  • exportModelCallable()

GetModelEvaluation

Gets a model evaluation.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • getModelEvaluation(GetModelEvaluationRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • getModelEvaluation(ModelEvaluationName name)

  • getModelEvaluation(String name)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • getModelEvaluationCallable()

ListModelEvaluations

Lists model evaluations.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • listModelEvaluations(ListModelEvaluationsRequest request)

"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.

  • listModelEvaluations(ModelName parent, String filter)

  • listModelEvaluations(String parent, String filter)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • listModelEvaluationsPagedCallable()

  • listModelEvaluationsCallable()

See the individual methods for example code.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

This class can be customized by passing in a custom instance of AutoMlSettings to create(). For example:

To customize credentials: 


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 AutoMlSettings autoMlSettings =
     AutoMlSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 AutoMlClient autoMlClient = AutoMlClient.create(autoMlSettings);

To customize the endpoint: 


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 AutoMlSettings autoMlSettings = AutoMlSettings.newBuilder().setEndpoint(myEndpoint).build();
 AutoMlClient autoMlClient = AutoMlClient.create(autoMlSettings);

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire: 


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 AutoMlSettings autoMlSettings = AutoMlSettings.newHttpJsonBuilder().build();
 AutoMlClient autoMlClient = AutoMlClient.create(autoMlSettings);

Please refer to the GitHub repository's samples for more quickstart code snippets.

  • Constructor Details

    • AutoMlClient

      protected AutoMlClient(AutoMlSettings settings) throws IOException
      Constructs an instance of AutoMlClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.
      Throws:
      IOException

    • AutoMlClient

      protected AutoMlClient(AutoMlStub stub)

  • Method Details

    • create

      public static final AutoMlClient create() throws IOException
      Constructs an instance of AutoMlClient with default settings.
      Throws:
      IOException

    • create

      public static final AutoMlClient create(AutoMlSettings settings) throws IOException
      Constructs an instance of AutoMlClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.
      Throws:
      IOException

    • create

      public static final AutoMlClient create(AutoMlStub stub)
      Constructs an instance of AutoMlClient, using the given stub for making calls. This is for advanced usage - prefer using create(AutoMlSettings).

    • getSettings

      public final AutoMlSettings getSettings()

    • getStub

      public AutoMlStub getStub()

    • getOperationsClient

      public final OperationsClient getOperationsClient()
      Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

    • getHttpJsonOperationsClient

      @BetaApi public final OperationsClient getHttpJsonOperationsClient()
      Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

    • createDatasetAsync

      public final OperationFuture<Dataset,OperationMetadata> createDatasetAsync(LocationName parent, Dataset dataset)
      Creates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Dataset dataset = Dataset.newBuilder().build();
   Dataset response = autoMlClient.createDatasetAsync(parent, dataset).get();
 }
      Parameters:
      parent - Required. The resource name of the project to create the dataset for.
      dataset - Required. The dataset to create.
      Throws:
      ApiException - if the remote call fails

    • createDatasetAsync

      public final OperationFuture<Dataset,OperationMetadata> createDatasetAsync(String parent, Dataset dataset)
      Creates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   Dataset dataset = Dataset.newBuilder().build();
   Dataset response = autoMlClient.createDatasetAsync(parent, dataset).get();
 }
      Parameters:
      parent - Required. The resource name of the project to create the dataset for.
      dataset - Required. The dataset to create.
      Throws:
      ApiException - if the remote call fails

    • createDatasetAsync

      public final OperationFuture<Dataset,OperationMetadata> createDatasetAsync(CreateDatasetRequest request)
      Creates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateDatasetRequest request =
       CreateDatasetRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setDataset(Dataset.newBuilder().build())
           .build();
   Dataset response = autoMlClient.createDatasetAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • createDatasetOperationCallable

      public final OperationCallable<CreateDatasetRequest,Dataset,OperationMetadata> createDatasetOperationCallable()
      Creates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateDatasetRequest request =
       CreateDatasetRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setDataset(Dataset.newBuilder().build())
           .build();
   OperationFuture<Dataset, OperationMetadata> future =
       autoMlClient.createDatasetOperationCallable().futureCall(request);
   // Do something.
   Dataset response = future.get();
 }

    • createDatasetCallable

      public final UnaryCallable<CreateDatasetRequest,Operation> createDatasetCallable()
      Creates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateDatasetRequest request =
       CreateDatasetRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setDataset(Dataset.newBuilder().build())
           .build();
   ApiFuture<Operation> future = autoMlClient.createDatasetCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }

    • getDataset

      public final Dataset getDataset(DatasetName name)
      Gets a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   Dataset response = autoMlClient.getDataset(name);
 }
      Parameters:
      name - Required. The resource name of the dataset to retrieve.
      Throws:
      ApiException - if the remote call fails

    • getDataset

      public final Dataset getDataset(String name)
      Gets a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
   Dataset response = autoMlClient.getDataset(name);
 }
      Parameters:
      name - Required. The resource name of the dataset to retrieve.
      Throws:
      ApiException - if the remote call fails

    • getDataset

      public final Dataset getDataset(GetDatasetRequest request)
      Gets a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetDatasetRequest request =
       GetDatasetRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .build();
   Dataset response = autoMlClient.getDataset(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • getDatasetCallable

      public final UnaryCallable<GetDatasetRequest,Dataset> getDatasetCallable()
      Gets a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetDatasetRequest request =
       GetDatasetRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .build();
   ApiFuture<Dataset> future = autoMlClient.getDatasetCallable().futureCall(request);
   // Do something.
   Dataset response = future.get();
 }

    • listDatasets

      public final AutoMlClient.ListDatasetsPagedResponse listDatasets(LocationName parent)
      Lists datasets in a project.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   for (Dataset element : autoMlClient.listDatasets(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. The resource name of the project from which to list datasets.
      Throws:
      ApiException - if the remote call fails

    • listDatasets

      public final AutoMlClient.ListDatasetsPagedResponse listDatasets(String parent)
      Lists datasets in a project.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   for (Dataset element : autoMlClient.listDatasets(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. The resource name of the project from which to list datasets.
      Throws:
      ApiException - if the remote call fails

    • listDatasets

      public final AutoMlClient.ListDatasetsPagedResponse listDatasets(ListDatasetsRequest request)
      Lists datasets in a project.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListDatasetsRequest request =
       ListDatasetsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (Dataset element : autoMlClient.listDatasets(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • listDatasetsPagedCallable

      public final UnaryCallable<ListDatasetsRequest,AutoMlClient.ListDatasetsPagedResponse> listDatasetsPagedCallable()
      Lists datasets in a project.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListDatasetsRequest request =
       ListDatasetsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<Dataset> future = autoMlClient.listDatasetsPagedCallable().futureCall(request);
   // Do something.
   for (Dataset element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }

    • listDatasetsCallable

      public final UnaryCallable<ListDatasetsRequest,ListDatasetsResponse> listDatasetsCallable()
      Lists datasets in a project.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListDatasetsRequest request =
       ListDatasetsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListDatasetsResponse response = autoMlClient.listDatasetsCallable().call(request);
     for (Dataset element : response.getDatasetsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }

    • updateDataset

      public final Dataset updateDataset(Dataset dataset, com.google.protobuf.FieldMask updateMask)
      Updates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   Dataset dataset = Dataset.newBuilder().build();
   FieldMask updateMask = FieldMask.newBuilder().build();
   Dataset response = autoMlClient.updateDataset(dataset, updateMask);
 }
      Parameters:
      dataset - Required. The dataset which replaces the resource on the server.
      updateMask - Required. The update mask applies to the resource.
      Throws:
      ApiException - if the remote call fails

    • updateDataset

      public final Dataset updateDataset(UpdateDatasetRequest request)
      Updates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UpdateDatasetRequest request =
       UpdateDatasetRequest.newBuilder()
           .setDataset(Dataset.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   Dataset response = autoMlClient.updateDataset(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • updateDatasetCallable

      public final UnaryCallable<UpdateDatasetRequest,Dataset> updateDatasetCallable()
      Updates a dataset.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UpdateDatasetRequest request =
       UpdateDatasetRequest.newBuilder()
           .setDataset(Dataset.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<Dataset> future = autoMlClient.updateDatasetCallable().futureCall(request);
   // Do something.
   Dataset response = future.get();
 }

    • deleteDatasetAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteDatasetAsync(DatasetName name)
      Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   autoMlClient.deleteDatasetAsync(name).get();
 }
      Parameters:
      name - Required. The resource name of the dataset to delete.
      Throws:
      ApiException - if the remote call fails

    • deleteDatasetAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteDatasetAsync(String name)
      Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
   autoMlClient.deleteDatasetAsync(name).get();
 }
      Parameters:
      name - Required. The resource name of the dataset to delete.
      Throws:
      ApiException - if the remote call fails

    • deleteDatasetAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteDatasetAsync(DeleteDatasetRequest request)
      Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteDatasetRequest request =
       DeleteDatasetRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .build();
   autoMlClient.deleteDatasetAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • deleteDatasetOperationCallable

      public final OperationCallable<DeleteDatasetRequest,com.google.protobuf.Empty,OperationMetadata> deleteDatasetOperationCallable()
      Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteDatasetRequest request =
       DeleteDatasetRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.deleteDatasetOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • deleteDatasetCallable

      public final UnaryCallable<DeleteDatasetRequest,Operation> deleteDatasetCallable()
      Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteDatasetRequest request =
       DeleteDatasetRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .build();
   ApiFuture<Operation> future = autoMlClient.deleteDatasetCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • importDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> importDataAsync(DatasetName name, InputConfig inputConfig)
      Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

      For Tables:

      • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   InputConfig inputConfig = InputConfig.newBuilder().build();
   autoMlClient.importDataAsync(name, inputConfig).get();
 }
      Parameters:
      name - Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
      inputConfig - Required. The desired input location and its domain specific semantics, if any.
      Throws:
      ApiException - if the remote call fails

    • importDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> importDataAsync(String name, InputConfig inputConfig)
      Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

      For Tables:

      • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
   InputConfig inputConfig = InputConfig.newBuilder().build();
   autoMlClient.importDataAsync(name, inputConfig).get();
 }
      Parameters:
      name - Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
      inputConfig - Required. The desired input location and its domain specific semantics, if any.
      Throws:
      ApiException - if the remote call fails

    • importDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> importDataAsync(ImportDataRequest request)
      Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

      For Tables:

      • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ImportDataRequest request =
       ImportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setInputConfig(InputConfig.newBuilder().build())
           .build();
   autoMlClient.importDataAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • importDataOperationCallable

      public final OperationCallable<ImportDataRequest,com.google.protobuf.Empty,OperationMetadata> importDataOperationCallable()
      Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

      For Tables:

      • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ImportDataRequest request =
       ImportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setInputConfig(InputConfig.newBuilder().build())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.importDataOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • importDataCallable

      public final UnaryCallable<ImportDataRequest,Operation> importDataCallable()
      Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

      For Tables:

      • A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ImportDataRequest request =
       ImportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setInputConfig(InputConfig.newBuilder().build())
           .build();
   ApiFuture<Operation> future = autoMlClient.importDataCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • exportDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportDataAsync(DatasetName name, OutputConfig outputConfig)
      Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   OutputConfig outputConfig = OutputConfig.newBuilder().build();
   autoMlClient.exportDataAsync(name, outputConfig).get();
 }
      Parameters:
      name - Required. The resource name of the dataset.
      outputConfig - Required. The desired output location.
      Throws:
      ApiException - if the remote call fails

    • exportDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportDataAsync(String name, OutputConfig outputConfig)
      Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
   OutputConfig outputConfig = OutputConfig.newBuilder().build();
   autoMlClient.exportDataAsync(name, outputConfig).get();
 }
      Parameters:
      name - Required. The resource name of the dataset.
      outputConfig - Required. The desired output location.
      Throws:
      ApiException - if the remote call fails

    • exportDataAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportDataAsync(ExportDataRequest request)
      Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportDataRequest request =
       ExportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setOutputConfig(OutputConfig.newBuilder().build())
           .build();
   autoMlClient.exportDataAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • exportDataOperationCallable

      public final OperationCallable<ExportDataRequest,com.google.protobuf.Empty,OperationMetadata> exportDataOperationCallable()
      Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportDataRequest request =
       ExportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setOutputConfig(OutputConfig.newBuilder().build())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.exportDataOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • exportDataCallable

      public final UnaryCallable<ExportDataRequest,Operation> exportDataCallable()
      Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportDataRequest request =
       ExportDataRequest.newBuilder()
           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setOutputConfig(OutputConfig.newBuilder().build())
           .build();
   ApiFuture<Operation> future = autoMlClient.exportDataCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • getAnnotationSpec

      public final AnnotationSpec getAnnotationSpec(AnnotationSpecName name)
      Gets an annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   AnnotationSpecName name =
       AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
   AnnotationSpec response = autoMlClient.getAnnotationSpec(name);
 }
      Parameters:
      name - Required. The resource name of the annotation spec to retrieve.
      Throws:
      ApiException - if the remote call fails

    • getAnnotationSpec

      public final AnnotationSpec getAnnotationSpec(String name)
      Gets an annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name =
       AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
           .toString();
   AnnotationSpec response = autoMlClient.getAnnotationSpec(name);
 }
      Parameters:
      name - Required. The resource name of the annotation spec to retrieve.
      Throws:
      ApiException - if the remote call fails

    • getAnnotationSpec

      public final AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request)
      Gets an annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetAnnotationSpecRequest request =
       GetAnnotationSpecRequest.newBuilder()
           .setName(
               AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
                   .toString())
           .build();
   AnnotationSpec response = autoMlClient.getAnnotationSpec(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • getAnnotationSpecCallable

      public final UnaryCallable<GetAnnotationSpecRequest,AnnotationSpec> getAnnotationSpecCallable()
      Gets an annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetAnnotationSpecRequest request =
       GetAnnotationSpecRequest.newBuilder()
           .setName(
               AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
                   .toString())
           .build();
   ApiFuture<AnnotationSpec> future =
       autoMlClient.getAnnotationSpecCallable().futureCall(request);
   // Do something.
   AnnotationSpec response = future.get();
 }

    • createModelAsync

      public final OperationFuture<Model,OperationMetadata> createModelAsync(LocationName parent, Model model)
      Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Model model = Model.newBuilder().build();
   Model response = autoMlClient.createModelAsync(parent, model).get();
 }
      Parameters:
      parent - Required. Resource name of the parent project where the model is being created.
      model - Required. The model to create.
      Throws:
      ApiException - if the remote call fails

    • createModelAsync

      public final OperationFuture<Model,OperationMetadata> createModelAsync(String parent, Model model)
      Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   Model model = Model.newBuilder().build();
   Model response = autoMlClient.createModelAsync(parent, model).get();
 }
      Parameters:
      parent - Required. Resource name of the parent project where the model is being created.
      model - Required. The model to create.
      Throws:
      ApiException - if the remote call fails

    • createModelAsync

      public final OperationFuture<Model,OperationMetadata> createModelAsync(CreateModelRequest request)
      Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateModelRequest request =
       CreateModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setModel(Model.newBuilder().build())
           .build();
   Model response = autoMlClient.createModelAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • createModelOperationCallable

      public final OperationCallable<CreateModelRequest,Model,OperationMetadata> createModelOperationCallable()
      Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateModelRequest request =
       CreateModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setModel(Model.newBuilder().build())
           .build();
   OperationFuture<Model, OperationMetadata> future =
       autoMlClient.createModelOperationCallable().futureCall(request);
   // Do something.
   Model response = future.get();
 }

    • createModelCallable

      public final UnaryCallable<CreateModelRequest,Operation> createModelCallable()
      Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   CreateModelRequest request =
       CreateModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setModel(Model.newBuilder().build())
           .build();
   ApiFuture<Operation> future = autoMlClient.createModelCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }

    • getModel

      public final Model getModel(ModelName name)
      Gets a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   Model response = autoMlClient.getModel(name);
 }
      Parameters:
      name - Required. Resource name of the model.
      Throws:
      ApiException - if the remote call fails

    • getModel

      public final Model getModel(String name)
      Gets a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   Model response = autoMlClient.getModel(name);
 }
      Parameters:
      name - Required. Resource name of the model.
      Throws:
      ApiException - if the remote call fails

    • getModel

      public final Model getModel(GetModelRequest request)
      Gets a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetModelRequest request =
       GetModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   Model response = autoMlClient.getModel(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • getModelCallable

      public final UnaryCallable<GetModelRequest,Model> getModelCallable()
      Gets a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetModelRequest request =
       GetModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Model> future = autoMlClient.getModelCallable().futureCall(request);
   // Do something.
   Model response = future.get();
 }

    • listModels

      public final AutoMlClient.ListModelsPagedResponse listModels(LocationName parent)
      Lists models.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   for (Model element : autoMlClient.listModels(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. Resource name of the project, from which to list the models.
      Throws:
      ApiException - if the remote call fails

    • listModels

      public final AutoMlClient.ListModelsPagedResponse listModels(String parent)
      Lists models.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   for (Model element : autoMlClient.listModels(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. Resource name of the project, from which to list the models.
      Throws:
      ApiException - if the remote call fails

    • listModels

      public final AutoMlClient.ListModelsPagedResponse listModels(ListModelsRequest request)
      Lists models.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelsRequest request =
       ListModelsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (Model element : autoMlClient.listModels(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • listModelsPagedCallable

      public final UnaryCallable<ListModelsRequest,AutoMlClient.ListModelsPagedResponse> listModelsPagedCallable()
      Lists models.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelsRequest request =
       ListModelsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<Model> future = autoMlClient.listModelsPagedCallable().futureCall(request);
   // Do something.
   for (Model element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }

    • listModelsCallable

      public final UnaryCallable<ListModelsRequest,ListModelsResponse> listModelsCallable()
      Lists models.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelsRequest request =
       ListModelsRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListModelsResponse response = autoMlClient.listModelsCallable().call(request);
     for (Model element : response.getModelList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }

    • deleteModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteModelAsync(ModelName name)
      Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   autoMlClient.deleteModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model being deleted.
      Throws:
      ApiException - if the remote call fails

    • deleteModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteModelAsync(String name)
      Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   autoMlClient.deleteModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model being deleted.
      Throws:
      ApiException - if the remote call fails

    • deleteModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deleteModelAsync(DeleteModelRequest request)
      Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   autoMlClient.deleteModelAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • deleteModelOperationCallable

      public final OperationCallable<DeleteModelRequest,com.google.protobuf.Empty,OperationMetadata> deleteModelOperationCallable()
      Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.deleteModelOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • deleteModelCallable

      public final UnaryCallable<DeleteModelRequest,Operation> deleteModelCallable()
      Deletes a model. Returns `google.protobuf.Empty` in the [response][google.longrunning.Operation.response] field when it completes, and `delete_details` in the [metadata][google.longrunning.Operation.metadata] field.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Operation> future = autoMlClient.deleteModelCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • updateModel

      public final Model updateModel(Model model, com.google.protobuf.FieldMask updateMask)
      Updates a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   Model model = Model.newBuilder().build();
   FieldMask updateMask = FieldMask.newBuilder().build();
   Model response = autoMlClient.updateModel(model, updateMask);
 }
      Parameters:
      model - Required. The model which replaces the resource on the server.
      updateMask - Required. The update mask applies to the resource.
      Throws:
      ApiException - if the remote call fails

    • updateModel

      public final Model updateModel(UpdateModelRequest request)
      Updates a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UpdateModelRequest request =
       UpdateModelRequest.newBuilder()
           .setModel(Model.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   Model response = autoMlClient.updateModel(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • updateModelCallable

      public final UnaryCallable<UpdateModelRequest,Model> updateModelCallable()
      Updates a model.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UpdateModelRequest request =
       UpdateModelRequest.newBuilder()
           .setModel(Model.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<Model> future = autoMlClient.updateModelCallable().futureCall(request);
   // Do something.
   Model response = future.get();
 }

    • deployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deployModelAsync(ModelName name)
      Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

      Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   autoMlClient.deployModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model to deploy.
      Throws:
      ApiException - if the remote call fails

    • deployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deployModelAsync(String name)
      Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

      Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   autoMlClient.deployModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model to deploy.
      Throws:
      ApiException - if the remote call fails

    • deployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> deployModelAsync(DeployModelRequest request)
      Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

      Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeployModelRequest request =
       DeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   autoMlClient.deployModelAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • deployModelOperationCallable

      public final OperationCallable<DeployModelRequest,com.google.protobuf.Empty,OperationMetadata> deployModelOperationCallable()
      Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

      Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeployModelRequest request =
       DeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.deployModelOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • deployModelCallable

      public final UnaryCallable<DeployModelRequest,Operation> deployModelCallable()
      Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

      Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   DeployModelRequest request =
       DeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Operation> future = autoMlClient.deployModelCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • undeployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> undeployModelAsync(ModelName name)
      Undeploys a model. If the model is not deployed this method has no effect.

      Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   autoMlClient.undeployModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model to undeploy.
      Throws:
      ApiException - if the remote call fails

    • undeployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> undeployModelAsync(String name)
      Undeploys a model. If the model is not deployed this method has no effect.

      Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   autoMlClient.undeployModelAsync(name).get();
 }
      Parameters:
      name - Required. Resource name of the model to undeploy.
      Throws:
      ApiException - if the remote call fails

    • undeployModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> undeployModelAsync(UndeployModelRequest request)
      Undeploys a model. If the model is not deployed this method has no effect.

      Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UndeployModelRequest request =
       UndeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   autoMlClient.undeployModelAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • undeployModelOperationCallable

      public final OperationCallable<UndeployModelRequest,com.google.protobuf.Empty,OperationMetadata> undeployModelOperationCallable()
      Undeploys a model. If the model is not deployed this method has no effect.

      Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UndeployModelRequest request =
       UndeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.undeployModelOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • undeployModelCallable

      public final UnaryCallable<UndeployModelRequest,Operation> undeployModelCallable()
      Undeploys a model. If the model is not deployed this method has no effect.

      Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   UndeployModelRequest request =
       UndeployModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Operation> future = autoMlClient.undeployModelCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • exportModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportModelAsync(ModelName name, ModelExportOutputConfig outputConfig)
      Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
   autoMlClient.exportModelAsync(name, outputConfig).get();
 }
      Parameters:
      name - Required. The resource name of the model to export.
      outputConfig - Required. The desired output location and configuration.
      Throws:
      ApiException - if the remote call fails

    • exportModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportModelAsync(String name, ModelExportOutputConfig outputConfig)
      Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
   autoMlClient.exportModelAsync(name, outputConfig).get();
 }
      Parameters:
      name - Required. The resource name of the model to export.
      outputConfig - Required. The desired output location and configuration.
      Throws:
      ApiException - if the remote call fails

    • exportModelAsync

      public final OperationFuture<com.google.protobuf.Empty,OperationMetadata> exportModelAsync(ExportModelRequest request)
      Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportModelRequest request =
       ExportModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ModelExportOutputConfig.newBuilder().build())
           .build();
   autoMlClient.exportModelAsync(request).get();
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • exportModelOperationCallable

      public final OperationCallable<ExportModelRequest,com.google.protobuf.Empty,OperationMetadata> exportModelOperationCallable()
      Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportModelRequest request =
       ExportModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ModelExportOutputConfig.newBuilder().build())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.exportModelOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • exportModelCallable

      public final UnaryCallable<ExportModelRequest,Operation> exportModelCallable()
      Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

      Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ExportModelRequest request =
       ExportModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ModelExportOutputConfig.newBuilder().build())
           .build();
   ApiFuture<Operation> future = autoMlClient.exportModelCallable().futureCall(request);
   // Do something.
   future.get();
 }

    • getModelEvaluation

      public final ModelEvaluation getModelEvaluation(ModelEvaluationName name)
      Gets a model evaluation.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelEvaluationName name =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
   ModelEvaluation response = autoMlClient.getModelEvaluation(name);
 }
      Parameters:
      name - Required. Resource name for the model evaluation.
      Throws:
      ApiException - if the remote call fails

    • getModelEvaluation

      public final ModelEvaluation getModelEvaluation(String name)
      Gets a model evaluation.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String name =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]")
           .toString();
   ModelEvaluation response = autoMlClient.getModelEvaluation(name);
 }
      Parameters:
      name - Required. Resource name for the model evaluation.
      Throws:
      ApiException - if the remote call fails

    • getModelEvaluation

      public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request)
      Gets a model evaluation.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetModelEvaluationRequest request =
       GetModelEvaluationRequest.newBuilder()
           .setName(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]")
                   .toString())
           .build();
   ModelEvaluation response = autoMlClient.getModelEvaluation(request);
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • getModelEvaluationCallable

      public final UnaryCallable<GetModelEvaluationRequest,ModelEvaluation> getModelEvaluationCallable()
      Gets a model evaluation.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   GetModelEvaluationRequest request =
       GetModelEvaluationRequest.newBuilder()
           .setName(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]")
                   .toString())
           .build();
   ApiFuture<ModelEvaluation> future =
       autoMlClient.getModelEvaluationCallable().futureCall(request);
   // Do something.
   ModelEvaluation response = future.get();
 }

    • listModelEvaluations

      public final AutoMlClient.ListModelEvaluationsPagedResponse listModelEvaluations(ModelName parent, String filter)
      Lists model evaluations.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   String filter = "filter-1274492040";
   for (ModelEvaluation element :
       autoMlClient.listModelEvaluations(parent, filter).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
      filter - Required. An expression for filtering the results of the request.

      * `annotation_spec_id` - for =, != or existence. See example below for the last.

      Some examples of using the filter are:

      * `annotation_spec_id!=4` --> The model evaluation was done for annotation spec with ID different than 4. * `NOT annotation_spec_id:*` --> The model evaluation was done for aggregate of all annotation specs.

      Throws:
      ApiException - if the remote call fails

    • listModelEvaluations

      public final AutoMlClient.ListModelEvaluationsPagedResponse listModelEvaluations(String parent, String filter)
      Lists model evaluations.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   String parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   String filter = "filter-1274492040";
   for (ModelEvaluation element :
       autoMlClient.listModelEvaluations(parent, filter).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      parent - Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
      filter - Required. An expression for filtering the results of the request.

      * `annotation_spec_id` - for =, != or existence. See example below for the last.

      Some examples of using the filter are:

      * `annotation_spec_id!=4` --> The model evaluation was done for annotation spec with ID different than 4. * `NOT annotation_spec_id:*` --> The model evaluation was done for aggregate of all annotation specs.

      Throws:
      ApiException - if the remote call fails

    • listModelEvaluations

      public final AutoMlClient.ListModelEvaluationsPagedResponse listModelEvaluations(ListModelEvaluationsRequest request)
      Lists model evaluations.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (ModelEvaluation element : autoMlClient.listModelEvaluations(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
      Parameters:
      request - The request object containing all of the parameters for the API call.
      Throws:
      ApiException - if the remote call fails

    • listModelEvaluationsPagedCallable

      public final UnaryCallable<ListModelEvaluationsRequest,AutoMlClient.ListModelEvaluationsPagedResponse> listModelEvaluationsPagedCallable()
      Lists model evaluations.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<ModelEvaluation> future =
       autoMlClient.listModelEvaluationsPagedCallable().futureCall(request);
   // Do something.
   for (ModelEvaluation element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }

    • listModelEvaluationsCallable

      public final UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsResponse> listModelEvaluationsCallable()
      Lists model evaluations.

      Sample code: 

      
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (AutoMlClient autoMlClient = AutoMlClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListModelEvaluationsResponse response =
         autoMlClient.listModelEvaluationsCallable().call(request);
     for (ModelEvaluation element : response.getModelEvaluationList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }

    • close

      public final void close()
      Specified by:
      close in interface AutoCloseable

    • shutdown

      public void shutdown()
      Specified by:
      shutdown in interface BackgroundResource

    • isShutdown

      public boolean isShutdown()
      Specified by:
      isShutdown in interface BackgroundResource

    • isTerminated

      public boolean isTerminated()
      Specified by:
      isTerminated in interface BackgroundResource

    • shutdownNow

      public void shutdownNow()
      Specified by:
      shutdownNow in interface BackgroundResource

    • awaitTermination

      public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException
      Specified by:
      awaitTermination in interface BackgroundResource
      Throws:
      InterruptedException