Package com.google.cloud.automl.v1

Class AutoMlClient

  • All Implemented Interfaces:
    com.google.api.gax.core.BackgroundResource, AutoCloseable
    @Generated("by gapic-generator-java")
public class AutoMlClient
extends Object
implements com.google.api.gax.core.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().

    The surface of this class includes several types of Java methods for each of the API's methods:

    1. A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
    2. A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
    3. A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.

    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 Detail

      • 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 Detail

      • 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).

      • getOperationsClient

        public final com.google.longrunning.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 com.google.api.gax.httpjson.longrunning.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createDatasetAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createDatasetAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createDatasetOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<CreateDatasetRequest,​com.google.longrunning.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getDatasetCallable

        public final com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listDatasetsPagedCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateDatasetCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteDatasetAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteDatasetAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteDatasetOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<DeleteDatasetRequest,​com.google.longrunning.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • importDataAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • importDataAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • importDataOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<ImportDataRequest,​com.google.longrunning.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportDataAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportDataAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportDataOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<ExportDataRequest,​com.google.longrunning.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getAnnotationSpecCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createModelOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<CreateModelRequest,​com.google.longrunning.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getModelCallable

        public final com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listModelsPagedCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteModelOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<DeleteModelRequest,​com.google.longrunning.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateModelCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deployModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deployModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deployModelOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<DeployModelRequest,​com.google.longrunning.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • undeployModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • undeployModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • undeployModelOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<UndeployModelRequest,​com.google.longrunning.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 com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportModelAsync

        public final com.google.api.gax.longrunning.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportModelOperationCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.UnaryCallable<ExportModelRequest,​com.google.longrunning.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getModelEvaluationCallable

        public final com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.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:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listModelEvaluationsPagedCallable

        public final com.google.api.gax.rpc.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 com.google.api.gax.rpc.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;
     }
   }
 }

      • shutdown

        public void shutdown()
        Specified by:
        shutdown in interface com.google.api.gax.core.BackgroundResource

      • isShutdown

        public boolean isShutdown()
        Specified by:
        isShutdown in interface com.google.api.gax.core.BackgroundResource

      • isTerminated

        public boolean isTerminated()
        Specified by:
        isTerminated in interface com.google.api.gax.core.BackgroundResource

      • shutdownNow

        public void shutdownNow()
        Specified by:
        shutdownNow in interface com.google.api.gax.core.BackgroundResource