Class AutoMlClient (2.45.0)

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 kebab-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()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Dataset dataset = Dataset.newBuilder().build();
   Dataset response = autoMlClient.createDataset(parent, dataset);
 }

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

Methods
Method	Description	Method Variants
CreateDataset	Creates a dataset.	Request object method variants only take one parameter, a request object, which must be constructed before the call. createDataset(CreateDatasetRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. createDataset(LocationName parent, Dataset dataset) createDataset(String parent, Dataset dataset) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. createDatasetCallable()
GetDataset	Gets a dataset.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getDataset(GetDatasetRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getDataset(DatasetName name) getDataset(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getDatasetCallable()
ListDatasets	Lists datasets in a project.	Request object method variants only take one parameter, a request object, which must be constructed before the call. listDatasets(ListDatasetsRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. listDatasets(LocationName parent) listDatasets(String parent) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. listDatasetsPagedCallable() listDatasetsCallable()
UpdateDataset	Updates a dataset.	Request object method variants only take one parameter, a request object, which must be constructed before the call. updateDataset(UpdateDatasetRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. updateDataset(Dataset dataset) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. updateDatasetCallable()
DeleteDataset	Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and `delete_details` in the metadata field.	Request object method variants only take one parameter, a request object, which must be constructed before the call. deleteDatasetAsync(DeleteDatasetRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. deleteDatasetAsync(DatasetName name) deleteDatasetAsync(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. deleteDatasetOperationCallable() deleteDatasetCallable()
ImportData	Imports data into a dataset. For Tables this method can only be called on an empty Dataset. For Tables: A schema_inference_version parameter must be explicitly set. Returns an empty response in the response field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. importDataAsync(ImportDataRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. importDataAsync(DatasetName name, InputConfig inputConfig) importDataAsync(String name, InputConfig inputConfig) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. importDataOperationCallable() importDataCallable()
ExportData	Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. exportDataAsync(ExportDataRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. exportDataAsync(DatasetName name, OutputConfig outputConfig) exportDataAsync(String name, OutputConfig outputConfig) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. exportDataOperationCallable() exportDataCallable()
GetAnnotationSpec	Gets an annotation spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getAnnotationSpec(GetAnnotationSpecRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getAnnotationSpec(AnnotationSpecName name) getAnnotationSpec(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getAnnotationSpecCallable()
GetTableSpec	Gets a table spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getTableSpec(GetTableSpecRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getTableSpec(TableSpecName name) getTableSpec(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getTableSpecCallable()
ListTableSpecs	Lists table specs in a dataset.	Request object method variants only take one parameter, a request object, which must be constructed before the call. listTableSpecs(ListTableSpecsRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. listTableSpecs(DatasetName parent) listTableSpecs(String parent) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. listTableSpecsPagedCallable() listTableSpecsCallable()
UpdateTableSpec	Updates a table spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. updateTableSpec(UpdateTableSpecRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. updateTableSpec(TableSpec tableSpec) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. updateTableSpecCallable()
GetColumnSpec	Gets a column spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getColumnSpec(GetColumnSpecRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getColumnSpec(ColumnSpecName name) getColumnSpec(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getColumnSpecCallable()
ListColumnSpecs	Lists column specs in a table spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. listColumnSpecs(ListColumnSpecsRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. listColumnSpecs(TableSpecName parent) listColumnSpecs(String parent) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. listColumnSpecsPagedCallable() listColumnSpecsCallable()
UpdateColumnSpec	Updates a column spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. updateColumnSpec(UpdateColumnSpecRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. updateColumnSpec(ColumnSpec columnSpec) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. updateColumnSpecCallable()
CreateModel	Creates a model. Returns a Model in the response field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.	Request object method variants only take one parameter, a request object, which must be constructed before the call. createModelAsync(CreateModelRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. createModelAsync(LocationName parent, Model model) createModelAsync(String parent, Model model) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. createModelOperationCallable() createModelCallable()
GetModel	Gets a model.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getModel(GetModelRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getModel(ModelName name) getModel(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getModelCallable()
ListModels	Lists models.	Request object method variants only take one parameter, a request object, which must be constructed before the call. listModels(ListModelsRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. listModels(LocationName parent) listModels(String parent) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. listModelsPagedCallable() listModelsCallable()
DeleteModel	Deletes a model. Returns `google.protobuf.Empty` in the response field when it completes, and `delete_details` in the metadata field.	Request object method variants only take one parameter, a request object, which must be constructed before the call. deleteModelAsync(DeleteModelRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. deleteModelAsync(ModelName name) deleteModelAsync(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. deleteModelOperationCallable() deleteModelCallable()
DeployModel	Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing node_number) 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 field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. deployModelAsync(DeployModelRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. deployModelAsync(ModelName name) deployModelAsync(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. deployModelOperationCallable() deployModelCallable()
UndeployModel	Undeploys a model. If the model is not deployed this method has no effect. Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically. Returns an empty response in the response field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. undeployModelAsync(UndeployModelRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. undeployModelAsync(ModelName name) undeployModelAsync(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. undeployModelOperationCallable() undeployModelCallable()
ExportModel	Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in ModelExportOutputConfig. Returns an empty response in the response field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. exportModelAsync(ExportModelRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. exportModelAsync(ModelName name, ModelExportOutputConfig outputConfig) exportModelAsync(String name, ModelExportOutputConfig outputConfig) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. exportModelOperationCallable() exportModelCallable()
ExportEvaluatedExamples	Exports examples on which the model was evaluated (i.e. which were in the TEST set of the dataset the model was created from), together with their ground truth annotations and the annotations created (predicted) by the model. The examples, ground truth and predictions are exported in the state they were at the moment the model was evaluated. This export is available only for 30 days since the model evaluation is created. Currently only available for Tables. Returns an empty response in the response field when it completes.	Request object method variants only take one parameter, a request object, which must be constructed before the call. exportEvaluatedExamplesAsync(ExportEvaluatedExamplesRequest request) Methods that return long-running operations have "Async" method variants that return `OperationFuture`, which is used to track polling of the service. exportEvaluatedExamplesAsync(ModelName name, ExportEvaluatedExamplesOutputConfig outputConfig) exportEvaluatedExamplesAsync(String name, ExportEvaluatedExamplesOutputConfig outputConfig) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. exportEvaluatedExamplesOperationCallable() exportEvaluatedExamplesCallable()
GetModelEvaluation	Gets a model evaluation.	Request object method variants only take one parameter, a request object, which must be constructed before the call. getModelEvaluation(GetModelEvaluationRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. getModelEvaluation(ModelEvaluationName name) getModelEvaluation(String name) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. getModelEvaluationCallable()
ListModelEvaluations	Lists model evaluations.	Request object method variants only take one parameter, a request object, which must be constructed before the call. listModelEvaluations(ListModelEvaluationsRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. listModelEvaluations(ModelName parent) listModelEvaluations(String parent) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. listModelEvaluationsPagedCallable() listModelEvaluationsCallable()

See the individual methods for example code.

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

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

To customize credentials:


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

To customize the endpoint:


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

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


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

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

Inheritance

java.lang.Object > AutoMlClient

Static Methods

create()

public static final AutoMlClient create()

Constructs an instance of AutoMlClient with default settings.

Returns
Type	Description
`AutoMlClient`

Exceptions
Type	Description
`IOException`

create(AutoMlSettings settings)

public static final AutoMlClient create(AutoMlSettings settings)

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.

Parameter
Name	Description
`settings`	`AutoMlSettings`

Returns
Type	Description
`AutoMlClient`

Exceptions
Type	Description
`IOException`

create(AutoMlStub stub)

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).

Parameter
Name	Description
`stub`	`AutoMlStub`

Returns
Type	Description
`AutoMlClient`

Constructors

AutoMlClient(AutoMlSettings settings)

protected AutoMlClient(AutoMlSettings settings)

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.

Parameter
Name	Description
`settings`	`AutoMlSettings`

AutoMlClient(AutoMlStub stub)

protected AutoMlClient(AutoMlStub stub)

Parameter
Name	Description
`stub`	`AutoMlStub`

Methods

awaitTermination(long duration, TimeUnit unit)

public boolean awaitTermination(long duration, TimeUnit unit)

Parameters
Name	Description
`duration`	`long`
`unit`	`TimeUnit`

Returns
Type	Description
`boolean`

Exceptions
Type	Description
`InterruptedException`

close()

public final void close()

createDataset(CreateDatasetRequest request)

public final Dataset createDataset(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.createDataset(request);
 }

Parameter
Name	Description
`request`	`CreateDatasetRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`Dataset`

createDataset(LocationName parent, Dataset dataset)

public final Dataset createDataset(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.createDataset(parent, dataset);
 }

Parameters
Name	Description
`parent`	`LocationName` Required. The resource name of the project to create the dataset for.
`dataset`	`Dataset` Required. The dataset to create.

Returns
Type	Description
`Dataset`

createDataset(String parent, Dataset dataset)

public final Dataset createDataset(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.createDataset(parent, dataset);
 }

Parameters
Name	Description
`parent`	`String` Required. The resource name of the project to create the dataset for.
`dataset`	`Dataset` Required. The dataset to create.

Returns
Type	Description
`Dataset`

createDatasetCallable()

public final UnaryCallable<CreateDatasetRequest,Dataset> 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<Dataset> future = autoMlClient.createDatasetCallable().futureCall(request);
   // Do something.
   Dataset response = future.get();
 }

Returns
Type	Description
`UnaryCallable<CreateDatasetRequest,Dataset>`

createModelAsync(CreateModelRequest request)

public final OperationFuture<Model,OperationMetadata> createModelAsync(CreateModelRequest request)

Creates a model. Returns a Model in the 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();
 }

Parameter
Name	Description
`request`	`CreateModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Model,OperationMetadata>`

createModelAsync(LocationName parent, Model model)

public final OperationFuture<Model,OperationMetadata> createModelAsync(LocationName parent, Model 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()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Model model = Model.newBuilder().build();
   Model response = autoMlClient.createModelAsync(parent, model).get();
 }

Parameters
Name	Description
`parent`	`LocationName` Required. Resource name of the parent project where the model is being created.
`model`	`Model` Required. The model to create.

Returns
Type	Description
`OperationFuture<Model,OperationMetadata>`

createModelAsync(String parent, Model model)

public final OperationFuture<Model,OperationMetadata> createModelAsync(String parent, Model 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 parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   Model model = Model.newBuilder().build();
   Model response = autoMlClient.createModelAsync(parent, model).get();
 }

Parameters
Name	Description
`parent`	`String` Required. Resource name of the parent project where the model is being created.
`model`	`Model` Required. The model to create.

Returns
Type	Description
`OperationFuture<Model,OperationMetadata>`

createModelCallable()

public final UnaryCallable<CreateModelRequest,Operation> createModelCallable()

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();
 }

Returns
Type	Description
`UnaryCallable<CreateModelRequest,Operation>`

createModelOperationCallable()

public final OperationCallable<CreateModelRequest,Model,OperationMetadata> createModelOperationCallable()

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();
 }

Returns
Type	Description
`OperationCallable<CreateModelRequest,Model,OperationMetadata>`

deleteDatasetAsync(DatasetName name)

public final OperationFuture<Empty,OperationMetadata> deleteDatasetAsync(DatasetName name)

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`name`	`DatasetName` Required. The resource name of the dataset to delete.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteDatasetAsync(DeleteDatasetRequest request)

public final OperationFuture<Empty,OperationMetadata> deleteDatasetAsync(DeleteDatasetRequest request)

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`request`	`DeleteDatasetRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteDatasetAsync(String name)

public final OperationFuture<Empty,OperationMetadata> deleteDatasetAsync(String name)

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`name`	`String` Required. The resource name of the dataset to delete.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteDatasetCallable()

public final UnaryCallable<DeleteDatasetRequest,Operation> deleteDatasetCallable()

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the 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();
 }

Returns
Type	Description
`UnaryCallable<DeleteDatasetRequest,Operation>`

deleteDatasetOperationCallable()

public final OperationCallable<DeleteDatasetRequest,Empty,OperationMetadata> deleteDatasetOperationCallable()

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the 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();
 }

Returns
Type	Description
`OperationCallable<DeleteDatasetRequest,Empty,OperationMetadata>`

deleteModelAsync(DeleteModelRequest request)

public final OperationFuture<Empty,OperationMetadata> deleteModelAsync(DeleteModelRequest request)

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`request`	`DeleteModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteModelAsync(ModelName name)

public final OperationFuture<Empty,OperationMetadata> deleteModelAsync(ModelName name)

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`name`	`ModelName` Required. Resource name of the model being deleted.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteModelAsync(String name)

public final OperationFuture<Empty,OperationMetadata> deleteModelAsync(String name)

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the 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();
 }

Parameter
Name	Description
`name`	`String` Required. Resource name of the model being deleted.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deleteModelCallable()

public final UnaryCallable<DeleteModelRequest,Operation> deleteModelCallable()

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the 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();
 }

Returns
Type	Description
`UnaryCallable<DeleteModelRequest,Operation>`

deleteModelOperationCallable()

public final OperationCallable<DeleteModelRequest,Empty,OperationMetadata> deleteModelOperationCallable()

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the 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();
 }

Returns
Type	Description
`OperationCallable<DeleteModelRequest,Empty,OperationMetadata>`

deployModelAsync(DeployModelRequest request)

public final OperationFuture<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) 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 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();
 }

Parameter
Name	Description
`request`	`DeployModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deployModelAsync(ModelName name)

public final OperationFuture<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) 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 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();
 }

Parameter
Name	Description
`name`	`ModelName` Required. Resource name of the model to deploy.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deployModelAsync(String name)

public final OperationFuture<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) 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 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();
 }

Parameter
Name	Description
`name`	`String` Required. Resource name of the model to deploy.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

deployModelCallable()

public final UnaryCallable<DeployModelRequest,Operation> deployModelCallable()

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

node_number) 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 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();
 }

Returns
Type	Description
`UnaryCallable<DeployModelRequest,Operation>`

deployModelOperationCallable()

public final OperationCallable<DeployModelRequest,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) 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 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();
 }

Returns
Type	Description
`OperationCallable<DeployModelRequest,Empty,OperationMetadata>`

exportDataAsync(DatasetName name, OutputConfig outputConfig)

public final OperationFuture<Empty,OperationMetadata> exportDataAsync(DatasetName name, OutputConfig outputConfig)

Exports dataset's data to the provided output location. Returns an empty response in the 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	Description
`name`	`DatasetName` Required. The resource name of the dataset.
`outputConfig`	`OutputConfig` Required. The desired output location.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportDataAsync(ExportDataRequest request)

public final OperationFuture<Empty,OperationMetadata> exportDataAsync(ExportDataRequest request)

Exports dataset's data to the provided output location. Returns an empty response in the 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();
 }

Parameter
Name	Description
`request`	`ExportDataRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportDataAsync(String name, OutputConfig outputConfig)

public final OperationFuture<Empty,OperationMetadata> exportDataAsync(String name, OutputConfig outputConfig)

Exports dataset's data to the provided output location. Returns an empty response in the 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	Description
`name`	`String` Required. The resource name of the dataset.
`outputConfig`	`OutputConfig` Required. The desired output location.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportDataCallable()

public final UnaryCallable<ExportDataRequest,Operation> exportDataCallable()

Exports dataset's data to the provided output location. Returns an empty response in the 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();
 }

Returns
Type	Description
`UnaryCallable<ExportDataRequest,Operation>`

exportDataOperationCallable()

public final OperationCallable<ExportDataRequest,Empty,OperationMetadata> exportDataOperationCallable()

Exports dataset's data to the provided output location. Returns an empty response in the 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();
 }

Returns
Type	Description
`OperationCallable<ExportDataRequest,Empty,OperationMetadata>`

exportEvaluatedExamplesAsync(ExportEvaluatedExamplesRequest request)

public final OperationFuture<Empty,OperationMetadata> exportEvaluatedExamplesAsync(ExportEvaluatedExamplesRequest request)

Exports examples on which the model was evaluated (i.e. which were in the TEST set of the dataset the model was created from), together with their ground truth annotations and the annotations created (predicted) by the model. The examples, ground truth and predictions are exported in the state they were at the moment the model was evaluated.

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

Returns an empty response in the 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()) {
   ExportEvaluatedExamplesRequest request =
       ExportEvaluatedExamplesRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ExportEvaluatedExamplesOutputConfig.newBuilder().build())
           .build();
   autoMlClient.exportEvaluatedExamplesAsync(request).get();
 }

Parameter
Name	Description
`request`	`ExportEvaluatedExamplesRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportEvaluatedExamplesAsync(ModelName name, ExportEvaluatedExamplesOutputConfig outputConfig)

public final OperationFuture<Empty,OperationMetadata> exportEvaluatedExamplesAsync(ModelName name, ExportEvaluatedExamplesOutputConfig outputConfig)

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

Returns an empty response in the 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]");
   ExportEvaluatedExamplesOutputConfig outputConfig =
       ExportEvaluatedExamplesOutputConfig.newBuilder().build();
   autoMlClient.exportEvaluatedExamplesAsync(name, outputConfig).get();
 }

Parameters
Name	Description
`name`	`ModelName` Required. The resource name of the model whose evaluated examples are to be exported.
`outputConfig`	`ExportEvaluatedExamplesOutputConfig` Required. The desired output location and configuration.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportEvaluatedExamplesAsync(String name, ExportEvaluatedExamplesOutputConfig outputConfig)

public final OperationFuture<Empty,OperationMetadata> exportEvaluatedExamplesAsync(String name, ExportEvaluatedExamplesOutputConfig outputConfig)

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

Returns an empty response in the 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();
   ExportEvaluatedExamplesOutputConfig outputConfig =
       ExportEvaluatedExamplesOutputConfig.newBuilder().build();
   autoMlClient.exportEvaluatedExamplesAsync(name, outputConfig).get();
 }

Parameters
Name	Description
`name`	`String` Required. The resource name of the model whose evaluated examples are to be exported.
`outputConfig`	`ExportEvaluatedExamplesOutputConfig` Required. The desired output location and configuration.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportEvaluatedExamplesCallable()

public final UnaryCallable<ExportEvaluatedExamplesRequest,Operation> exportEvaluatedExamplesCallable()

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

Returns an empty response in the 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()) {
   ExportEvaluatedExamplesRequest request =
       ExportEvaluatedExamplesRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ExportEvaluatedExamplesOutputConfig.newBuilder().build())
           .build();
   ApiFuture<Operation> future =
       autoMlClient.exportEvaluatedExamplesCallable().futureCall(request);
   // Do something.
   future.get();
 }

Returns
Type	Description
`UnaryCallable<ExportEvaluatedExamplesRequest,Operation>`

exportEvaluatedExamplesOperationCallable()

public final OperationCallable<ExportEvaluatedExamplesRequest,Empty,OperationMetadata> exportEvaluatedExamplesOperationCallable()

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

Returns an empty response in the 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()) {
   ExportEvaluatedExamplesRequest request =
       ExportEvaluatedExamplesRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ExportEvaluatedExamplesOutputConfig.newBuilder().build())
           .build();
   OperationFuture<Empty, OperationMetadata> future =
       autoMlClient.exportEvaluatedExamplesOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }

Returns
Type	Description
`OperationCallable<ExportEvaluatedExamplesRequest,Empty,OperationMetadata>`

exportModelAsync(ExportModelRequest request)

public final OperationFuture<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.

Returns an empty response in the 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();
 }

Parameter
Name	Description
`request`	`ExportModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportModelAsync(ModelName name, ModelExportOutputConfig outputConfig)

public final OperationFuture<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.

Returns an empty response in the 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	Description
`name`	`ModelName` Required. The resource name of the model to export.
`outputConfig`	`ModelExportOutputConfig` Required. The desired output location and configuration.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportModelAsync(String name, ModelExportOutputConfig outputConfig)

public final OperationFuture<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.

Returns an empty response in the 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	Description
`name`	`String` Required. The resource name of the model to export.
`outputConfig`	`ModelExportOutputConfig` Required. The desired output location and configuration.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

exportModelCallable()

public final UnaryCallable<ExportModelRequest,Operation> exportModelCallable()

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

ModelExportOutputConfig.

Returns an empty response in the 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();
 }

Returns
Type	Description
`UnaryCallable<ExportModelRequest,Operation>`

exportModelOperationCallable()

public final OperationCallable<ExportModelRequest,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.

Returns an empty response in the 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();
 }

Returns
Type	Description
`OperationCallable<ExportModelRequest,Empty,OperationMetadata>`

getAnnotationSpec(AnnotationSpecName name)

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);
 }

Parameter
Name	Description
`name`	`AnnotationSpecName` Required. The resource name of the annotation spec to retrieve.

Returns
Type	Description
`AnnotationSpec`

getAnnotationSpec(GetAnnotationSpecRequest request)

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);
 }

Parameter
Name	Description
`request`	`GetAnnotationSpecRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AnnotationSpec`

getAnnotationSpec(String name)

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);
 }

Parameter
Name	Description
`name`	`String` Required. The resource name of the annotation spec to retrieve.

Returns
Type	Description
`AnnotationSpec`

getAnnotationSpecCallable()

public final UnaryCallable<GetAnnotationSpecRequest,AnnotationSpec> getAnnotationSpecCallable()

Gets an annotation spec.

Sample code:


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

Returns
Type	Description
`UnaryCallable<GetAnnotationSpecRequest,AnnotationSpec>`

getColumnSpec(ColumnSpecName name)

public final ColumnSpec getColumnSpec(ColumnSpecName name)

Gets a column 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()) {
   ColumnSpecName name =
       ColumnSpecName.of(
           "[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]");
   ColumnSpec response = autoMlClient.getColumnSpec(name);
 }

Parameter
Name	Description
`name`	`ColumnSpecName` Required. The resource name of the column spec to retrieve.

Returns
Type	Description
`ColumnSpec`

getColumnSpec(GetColumnSpecRequest request)

public final ColumnSpec getColumnSpec(GetColumnSpecRequest request)

Gets a column 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()) {
   GetColumnSpecRequest request =
       GetColumnSpecRequest.newBuilder()
           .setName(
               ColumnSpecName.of(
                       "[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .build();
   ColumnSpec response = autoMlClient.getColumnSpec(request);
 }

Parameter
Name	Description
`request`	`GetColumnSpecRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`ColumnSpec`

getColumnSpec(String name)

public final ColumnSpec getColumnSpec(String name)

Gets a column 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 =
       ColumnSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]")
           .toString();
   ColumnSpec response = autoMlClient.getColumnSpec(name);
 }

Parameter
Name	Description
`name`	`String` Required. The resource name of the column spec to retrieve.

Returns
Type	Description
`ColumnSpec`

getColumnSpecCallable()

public final UnaryCallable<GetColumnSpecRequest,ColumnSpec> getColumnSpecCallable()

Gets a column 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()) {
   GetColumnSpecRequest request =
       GetColumnSpecRequest.newBuilder()
           .setName(
               ColumnSpecName.of(
                       "[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]", "[COLUMN_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<ColumnSpec> future = autoMlClient.getColumnSpecCallable().futureCall(request);
   // Do something.
   ColumnSpec response = future.get();
 }

Returns
Type	Description
`UnaryCallable<GetColumnSpecRequest,ColumnSpec>`

getDataset(DatasetName name)

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);
 }

Parameter
Name	Description
`name`	`DatasetName` Required. The resource name of the dataset to retrieve.

Returns
Type	Description
`Dataset`

getDataset(GetDatasetRequest request)

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);
 }

Parameter
Name	Description
`request`	`GetDatasetRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`Dataset`

getDataset(String name)

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);
 }

Parameter
Name	Description
`name`	`String` Required. The resource name of the dataset to retrieve.

Returns
Type	Description
`Dataset`

getDatasetCallable()

public final UnaryCallable<GetDatasetRequest,Dataset> getDatasetCallable()

Gets a dataset.

Sample code:


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

Returns
Type	Description
`UnaryCallable<GetDatasetRequest,Dataset>`

getHttpJsonOperationsClient()

public final OperationsClient getHttpJsonOperationsClient()

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

Returns
Type	Description
`OperationsClient`

getModel(GetModelRequest request)

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);
 }

Parameter
Name	Description
`request`	`GetModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`Model`

getModel(ModelName name)

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);
 }

Parameter
Name	Description
`name`	`ModelName` Required. Resource name of the model.

Returns
Type	Description
`Model`

getModel(String name)

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);
 }

Parameter
Name	Description
`name`	`String` Required. Resource name of the model.

Returns
Type	Description
`Model`

getModelCallable()

public final UnaryCallable<GetModelRequest,Model> getModelCallable()

Gets a model.

Sample code:


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

Returns
Type	Description
`UnaryCallable<GetModelRequest,Model>`

getModelEvaluation(GetModelEvaluationRequest request)

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);
 }

Parameter
Name	Description
`request`	`GetModelEvaluationRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`ModelEvaluation`

getModelEvaluation(ModelEvaluationName name)

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);
 }

Parameter
Name	Description
`name`	`ModelEvaluationName` Required. Resource name for the model evaluation.

Returns
Type	Description
`ModelEvaluation`

getModelEvaluation(String name)

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);
 }

Parameter
Name	Description
`name`	`String` Required. Resource name for the model evaluation.

Returns
Type	Description
`ModelEvaluation`

getModelEvaluationCallable()

public final UnaryCallable<GetModelEvaluationRequest,ModelEvaluation> getModelEvaluationCallable()

Gets a model evaluation.

Sample code:


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

Returns
Type	Description
`UnaryCallable<GetModelEvaluationRequest,ModelEvaluation>`

getOperationsClient()

public final OperationsClient getOperationsClient()

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

Returns
Type	Description
`OperationsClient`

getSettings()

public final AutoMlSettings getSettings()

Returns
Type	Description
`AutoMlSettings`

getStub()

public AutoMlStub getStub()

Returns
Type	Description
`AutoMlStub`

getTableSpec(GetTableSpecRequest request)

public final TableSpec getTableSpec(GetTableSpecRequest request)

Gets a table 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()) {
   GetTableSpecRequest request =
       GetTableSpecRequest.newBuilder()
           .setName(
               TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .build();
   TableSpec response = autoMlClient.getTableSpec(request);
 }

Parameter
Name	Description
`request`	`GetTableSpecRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`TableSpec`

getTableSpec(TableSpecName name)

public final TableSpec getTableSpec(TableSpecName name)

Gets a table 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()) {
   TableSpecName name = TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
   TableSpec response = autoMlClient.getTableSpec(name);
 }

Parameter
Name	Description
`name`	`TableSpecName` Required. The resource name of the table spec to retrieve.

Returns
Type	Description
`TableSpec`

getTableSpec(String name)

public final TableSpec getTableSpec(String name)

Gets a table 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 =
       TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]").toString();
   TableSpec response = autoMlClient.getTableSpec(name);
 }

Parameter
Name	Description
`name`	`String` Required. The resource name of the table spec to retrieve.

Returns
Type	Description
`TableSpec`

getTableSpecCallable()

public final UnaryCallable<GetTableSpecRequest,TableSpec> getTableSpecCallable()

Gets a table 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()) {
   GetTableSpecRequest request =
       GetTableSpecRequest.newBuilder()
           .setName(
               TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<TableSpec> future = autoMlClient.getTableSpecCallable().futureCall(request);
   // Do something.
   TableSpec response = future.get();
 }

Returns
Type	Description
`UnaryCallable<GetTableSpecRequest,TableSpec>`

importDataAsync(DatasetName name, InputConfig inputConfig)

public final OperationFuture<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 parameter must be explicitly set. Returns an empty response in the 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	Description
`name`	`DatasetName` Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
`inputConfig`	`InputConfig` Required. The desired input location and its domain specific semantics, if any.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

importDataAsync(ImportDataRequest request)

public final OperationFuture<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 parameter must be explicitly set. Returns an empty response in the 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();
 }

Parameter
Name	Description
`request`	`ImportDataRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

importDataAsync(String name, InputConfig inputConfig)

public final OperationFuture<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 parameter must be explicitly set. Returns an empty response in the 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	Description
`name`	`String` Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
`inputConfig`	`InputConfig` Required. The desired input location and its domain specific semantics, if any.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

importDataCallable()

public final UnaryCallable<ImportDataRequest,Operation> importDataCallable()

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

For Tables:

A schema_inference_version parameter must be explicitly set. Returns an empty response in the 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();
 }

Returns
Type	Description
`UnaryCallable<ImportDataRequest,Operation>`

importDataOperationCallable()

public final OperationCallable<ImportDataRequest,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 parameter must be explicitly set. Returns an empty response in the 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();
 }

Returns
Type	Description
`OperationCallable<ImportDataRequest,Empty,OperationMetadata>`

isShutdown()

public boolean isShutdown()

Returns
Type	Description
`boolean`

isTerminated()

public boolean isTerminated()

Returns
Type	Description
`boolean`

listColumnSpecs(ListColumnSpecsRequest request)

public final AutoMlClient.ListColumnSpecsPagedResponse listColumnSpecs(ListColumnSpecsRequest request)

Lists column specs in a table 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()) {
   ListColumnSpecsRequest request =
       ListColumnSpecsRequest.newBuilder()
           .setParent(
               TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (ColumnSpec element : autoMlClient.listColumnSpecs(request).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`request`	`ListColumnSpecsRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AutoMlClient.ListColumnSpecsPagedResponse`

listColumnSpecs(TableSpecName parent)

public final AutoMlClient.ListColumnSpecsPagedResponse listColumnSpecs(TableSpecName parent)

Lists column specs in a table 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()) {
   TableSpecName parent =
       TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]");
   for (ColumnSpec element : autoMlClient.listColumnSpecs(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`TableSpecName` Required. The resource name of the table spec to list column specs from.

Returns
Type	Description
`AutoMlClient.ListColumnSpecsPagedResponse`

listColumnSpecs(String parent)

public final AutoMlClient.ListColumnSpecsPagedResponse listColumnSpecs(String parent)

Lists column specs in a table 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 =
       TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]").toString();
   for (ColumnSpec element : autoMlClient.listColumnSpecs(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`String` Required. The resource name of the table spec to list column specs from.

Returns
Type	Description
`AutoMlClient.ListColumnSpecsPagedResponse`

listColumnSpecsCallable()

public final UnaryCallable<ListColumnSpecsRequest,ListColumnSpecsResponse> listColumnSpecsCallable()

Lists column specs in a table 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()) {
   ListColumnSpecsRequest request =
       ListColumnSpecsRequest.newBuilder()
           .setParent(
               TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListColumnSpecsResponse response = autoMlClient.listColumnSpecsCallable().call(request);
     for (ColumnSpec element : response.getColumnSpecsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }

Returns
Type	Description
`UnaryCallable<ListColumnSpecsRequest,ListColumnSpecsResponse>`

listColumnSpecsPagedCallable()

public final UnaryCallable<ListColumnSpecsRequest,AutoMlClient.ListColumnSpecsPagedResponse> listColumnSpecsPagedCallable()

Lists column specs in a table 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()) {
   ListColumnSpecsRequest request =
       ListColumnSpecsRequest.newBuilder()
           .setParent(
               TableSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[TABLE_SPEC]")
                   .toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<ColumnSpec> future =
       autoMlClient.listColumnSpecsPagedCallable().futureCall(request);
   // Do something.
   for (ColumnSpec element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }

Returns
Type	Description
`UnaryCallable<ListColumnSpecsRequest,ListColumnSpecsPagedResponse>`

listDatasets(ListDatasetsRequest request)

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);
   }
 }

Parameter
Name	Description
`request`	`ListDatasetsRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AutoMlClient.ListDatasetsPagedResponse`

listDatasets(LocationName parent)

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);
   }
 }

Parameter
Name	Description
`parent`	`LocationName` Required. The resource name of the project from which to list datasets.

Returns
Type	Description
`AutoMlClient.ListDatasetsPagedResponse`

listDatasets(String parent)

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);
   }
 }

Parameter
Name	Description
`parent`	`String` Required. The resource name of the project from which to list datasets.

Returns
Type	Description
`AutoMlClient.ListDatasetsPagedResponse`

listDatasetsCallable()

public final UnaryCallable<ListDatasetsRequest,ListDatasetsResponse> listDatasetsCallable()

Lists datasets in a project.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListDatasetsRequest,ListDatasetsResponse>`

listDatasetsPagedCallable()

public final UnaryCallable<ListDatasetsRequest,AutoMlClient.ListDatasetsPagedResponse> listDatasetsPagedCallable()

Lists datasets in a project.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListDatasetsRequest,ListDatasetsPagedResponse>`

listModelEvaluations(ListModelEvaluationsRequest request)

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);
   }
 }

Parameter
Name	Description
`request`	`ListModelEvaluationsRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AutoMlClient.ListModelEvaluationsPagedResponse`

listModelEvaluations(ModelName parent)

public final AutoMlClient.ListModelEvaluationsPagedResponse listModelEvaluations(ModelName parent)

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]");
   for (ModelEvaluation element : autoMlClient.listModelEvaluations(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`ModelName` 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.

Returns
Type	Description
`AutoMlClient.ListModelEvaluationsPagedResponse`

listModelEvaluations(String parent)

public final AutoMlClient.ListModelEvaluationsPagedResponse listModelEvaluations(String parent)

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();
   for (ModelEvaluation element : autoMlClient.listModelEvaluations(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`String` 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.

Returns
Type	Description
`AutoMlClient.ListModelEvaluationsPagedResponse`

listModelEvaluationsCallable()

public final UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsResponse> listModelEvaluationsCallable()

Lists model evaluations.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsResponse>`

listModelEvaluationsPagedCallable()

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

Lists model evaluations.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsPagedResponse>`

listModels(ListModelsRequest request)

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);
   }
 }

Parameter
Name	Description
`request`	`ListModelsRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AutoMlClient.ListModelsPagedResponse`

listModels(LocationName parent)

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);
   }
 }

Parameter
Name	Description
`parent`	`LocationName` Required. Resource name of the project, from which to list the models.

Returns
Type	Description
`AutoMlClient.ListModelsPagedResponse`

listModels(String parent)

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);
   }
 }

Parameter
Name	Description
`parent`	`String` Required. Resource name of the project, from which to list the models.

Returns
Type	Description
`AutoMlClient.ListModelsPagedResponse`

listModelsCallable()

public final UnaryCallable<ListModelsRequest,ListModelsResponse> listModelsCallable()

Lists models.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListModelsRequest,ListModelsResponse>`

listModelsPagedCallable()

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

Lists models.

Sample code:


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

Returns
Type	Description
`UnaryCallable<ListModelsRequest,ListModelsPagedResponse>`

listTableSpecs(DatasetName parent)

public final AutoMlClient.ListTableSpecsPagedResponse listTableSpecs(DatasetName parent)

Lists table specs in 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 parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
   for (TableSpec element : autoMlClient.listTableSpecs(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`DatasetName` Required. The resource name of the dataset to list table specs from.

Returns
Type	Description
`AutoMlClient.ListTableSpecsPagedResponse`

listTableSpecs(ListTableSpecsRequest request)

public final AutoMlClient.ListTableSpecsPagedResponse listTableSpecs(ListTableSpecsRequest request)

Lists table specs in 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()) {
   ListTableSpecsRequest request =
       ListTableSpecsRequest.newBuilder()
           .setParent(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (TableSpec element : autoMlClient.listTableSpecs(request).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`request`	`ListTableSpecsRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`AutoMlClient.ListTableSpecsPagedResponse`

listTableSpecs(String parent)

public final AutoMlClient.ListTableSpecsPagedResponse listTableSpecs(String parent)

Lists table specs in 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 = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
   for (TableSpec element : autoMlClient.listTableSpecs(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }

Parameter
Name	Description
`parent`	`String` Required. The resource name of the dataset to list table specs from.

Returns
Type	Description
`AutoMlClient.ListTableSpecsPagedResponse`

listTableSpecsCallable()

public final UnaryCallable<ListTableSpecsRequest,ListTableSpecsResponse> listTableSpecsCallable()

Lists table specs in 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()) {
   ListTableSpecsRequest request =
       ListTableSpecsRequest.newBuilder()
           .setParent(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListTableSpecsResponse response = autoMlClient.listTableSpecsCallable().call(request);
     for (TableSpec element : response.getTableSpecsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }

Returns
Type	Description
`UnaryCallable<ListTableSpecsRequest,ListTableSpecsResponse>`

listTableSpecsPagedCallable()

public final UnaryCallable<ListTableSpecsRequest,AutoMlClient.ListTableSpecsPagedResponse> listTableSpecsPagedCallable()

Lists table specs in 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()) {
   ListTableSpecsRequest request =
       ListTableSpecsRequest.newBuilder()
           .setParent(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
           .setFieldMask(FieldMask.newBuilder().build())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<TableSpec> future = autoMlClient.listTableSpecsPagedCallable().futureCall(request);
   // Do something.
   for (TableSpec element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }

Returns
Type	Description
`UnaryCallable<ListTableSpecsRequest,ListTableSpecsPagedResponse>`

shutdown()

public void shutdown()

shutdownNow()

public void shutdownNow()

undeployModelAsync(ModelName name)

public final OperationFuture<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 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();
 }

Parameter
Name	Description
`name`	`ModelName` Required. Resource name of the model to undeploy.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

undeployModelAsync(UndeployModelRequest request)

public final OperationFuture<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 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();
 }

Parameter
Name	Description
`request`	`UndeployModelRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

undeployModelAsync(String name)

public final OperationFuture<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 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();
 }

Parameter
Name	Description
`name`	`String` Required. Resource name of the model to undeploy.

Returns
Type	Description
`OperationFuture<Empty,OperationMetadata>`

undeployModelCallable()

public final UnaryCallable<UndeployModelRequest,Operation> undeployModelCallable()

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

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

Returns an empty response in the response 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();
 }

Returns
Type	Description
`UnaryCallable<UndeployModelRequest,Operation>`

undeployModelOperationCallable()

public final OperationCallable<UndeployModelRequest,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 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();
 }

Returns
Type	Description
`OperationCallable<UndeployModelRequest,Empty,OperationMetadata>`

updateColumnSpec(ColumnSpec columnSpec)

public final ColumnSpec updateColumnSpec(ColumnSpec columnSpec)

Updates a column 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()) {
   ColumnSpec columnSpec = ColumnSpec.newBuilder().build();
   ColumnSpec response = autoMlClient.updateColumnSpec(columnSpec);
 }

Parameter
Name	Description
`columnSpec`	`ColumnSpec` Required. The column spec which replaces the resource on the server.

Returns
Type	Description
`ColumnSpec`

updateColumnSpec(UpdateColumnSpecRequest request)

public final ColumnSpec updateColumnSpec(UpdateColumnSpecRequest request)

Updates a column 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()) {
   UpdateColumnSpecRequest request =
       UpdateColumnSpecRequest.newBuilder()
           .setColumnSpec(ColumnSpec.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ColumnSpec response = autoMlClient.updateColumnSpec(request);
 }

Parameter
Name	Description
`request`	`UpdateColumnSpecRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`ColumnSpec`

updateColumnSpecCallable()

public final UnaryCallable<UpdateColumnSpecRequest,ColumnSpec> updateColumnSpecCallable()

Updates a column 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()) {
   UpdateColumnSpecRequest request =
       UpdateColumnSpecRequest.newBuilder()
           .setColumnSpec(ColumnSpec.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<ColumnSpec> future = autoMlClient.updateColumnSpecCallable().futureCall(request);
   // Do something.
   ColumnSpec response = future.get();
 }

Returns
Type	Description
`UnaryCallable<UpdateColumnSpecRequest,ColumnSpec>`

updateDataset(Dataset dataset)

public final Dataset updateDataset(Dataset dataset)

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();
   Dataset response = autoMlClient.updateDataset(dataset);
 }

Parameter
Name	Description
`dataset`	`Dataset` Required. The dataset which replaces the resource on the server.

Returns
Type	Description
`Dataset`

updateDataset(UpdateDatasetRequest request)

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);
 }

Parameter
Name	Description
`request`	`UpdateDatasetRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`Dataset`

updateDatasetCallable()

public final UnaryCallable<UpdateDatasetRequest,Dataset> updateDatasetCallable()

Updates a dataset.

Sample code:


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

Returns
Type	Description
`UnaryCallable<UpdateDatasetRequest,Dataset>`

updateTableSpec(TableSpec tableSpec)

public final TableSpec updateTableSpec(TableSpec tableSpec)

Updates a table 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()) {
   TableSpec tableSpec = TableSpec.newBuilder().build();
   TableSpec response = autoMlClient.updateTableSpec(tableSpec);
 }

Parameter
Name	Description
`tableSpec`	`TableSpec` Required. The table spec which replaces the resource on the server.

Returns
Type	Description
`TableSpec`

updateTableSpec(UpdateTableSpecRequest request)

public final TableSpec updateTableSpec(UpdateTableSpecRequest request)

Updates a table 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()) {
   UpdateTableSpecRequest request =
       UpdateTableSpecRequest.newBuilder()
           .setTableSpec(TableSpec.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   TableSpec response = autoMlClient.updateTableSpec(request);
 }

Parameter
Name	Description
`request`	`UpdateTableSpecRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`TableSpec`

updateTableSpecCallable()

public final UnaryCallable<UpdateTableSpecRequest,TableSpec> updateTableSpecCallable()

Updates a table 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()) {
   UpdateTableSpecRequest request =
       UpdateTableSpecRequest.newBuilder()
           .setTableSpec(TableSpec.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<TableSpec> future = autoMlClient.updateTableSpecCallable().futureCall(request);
   // Do something.
   TableSpec response = future.get();
 }

Returns
Type	Description
`UnaryCallable<UpdateTableSpecRequest,TableSpec>`