Class ModelServiceClient (3.13.0)

public class ModelServiceClient implements BackgroundResource

Service Description: A service for managing Vertex AI's machine learning Models.

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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   Model response = modelServiceClient.getModel(name);
 }
 

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

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

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

See the individual methods for example code.

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

This class can be customized by passing in a custom instance of ModelServiceSettings 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
 ModelServiceSettings modelServiceSettings =
     ModelServiceSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings);
 

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
 ModelServiceSettings modelServiceSettings =
     ModelServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
 ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings);
 

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

Inheritance

java.lang.Object > ModelServiceClient

Implements

BackgroundResource

Static Methods

create()

public static final ModelServiceClient create()

Constructs an instance of ModelServiceClient with default settings.

Returns
TypeDescription
ModelServiceClient
Exceptions
TypeDescription
IOException

create(ModelServiceSettings settings)

public static final ModelServiceClient create(ModelServiceSettings settings)

Constructs an instance of ModelServiceClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.

Parameter
NameDescription
settingsModelServiceSettings
Returns
TypeDescription
ModelServiceClient
Exceptions
TypeDescription
IOException

create(ModelServiceStub stub)

public static final ModelServiceClient create(ModelServiceStub stub)

Constructs an instance of ModelServiceClient, using the given stub for making calls. This is for advanced usage - prefer using create(ModelServiceSettings).

Parameter
NameDescription
stubModelServiceStub
Returns
TypeDescription
ModelServiceClient

Constructors

ModelServiceClient(ModelServiceSettings settings)

protected ModelServiceClient(ModelServiceSettings settings)

Constructs an instance of ModelServiceClient, 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
NameDescription
settingsModelServiceSettings

ModelServiceClient(ModelServiceStub stub)

protected ModelServiceClient(ModelServiceStub stub)
Parameter
NameDescription
stubModelServiceStub

Methods

awaitTermination(long duration, TimeUnit unit)

public boolean awaitTermination(long duration, TimeUnit unit)
Parameters
NameDescription
durationlong
unitTimeUnit
Returns
TypeDescription
boolean
Exceptions
TypeDescription
InterruptedException

batchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest request)

public final BatchImportModelEvaluationSlicesResponse batchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest request)

Imports a list of externally generated ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   BatchImportModelEvaluationSlicesRequest request =
       BatchImportModelEvaluationSlicesRequest.newBuilder()
           .setParent(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
                   .toString())
           .addAllModelEvaluationSlices(new ArrayList<ModelEvaluationSlice>())
           .build();
   BatchImportModelEvaluationSlicesResponse response =
       modelServiceClient.batchImportModelEvaluationSlices(request);
 }
 
Parameter
NameDescription
requestBatchImportModelEvaluationSlicesRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
BatchImportModelEvaluationSlicesResponse

batchImportModelEvaluationSlices(ModelEvaluationName parent, List<ModelEvaluationSlice> modelEvaluationSlices)

public final BatchImportModelEvaluationSlicesResponse batchImportModelEvaluationSlices(ModelEvaluationName parent, List<ModelEvaluationSlice> modelEvaluationSlices)

Imports a list of externally generated ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelEvaluationName parent =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
   List<ModelEvaluationSlice> modelEvaluationSlices = new ArrayList<>();
   BatchImportModelEvaluationSlicesResponse response =
       modelServiceClient.batchImportModelEvaluationSlices(parent, modelEvaluationSlices);
 }
 
Parameters
NameDescription
parentModelEvaluationName

Required. The name of the parent ModelEvaluation resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

modelEvaluationSlicesList<ModelEvaluationSlice>

Required. Model evaluation slice resource to be imported.

Returns
TypeDescription
BatchImportModelEvaluationSlicesResponse

batchImportModelEvaluationSlices(String parent, List<ModelEvaluationSlice> modelEvaluationSlices)

public final BatchImportModelEvaluationSlicesResponse batchImportModelEvaluationSlices(String parent, List<ModelEvaluationSlice> modelEvaluationSlices)

Imports a list of externally generated ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]").toString();
   List<ModelEvaluationSlice> modelEvaluationSlices = new ArrayList<>();
   BatchImportModelEvaluationSlicesResponse response =
       modelServiceClient.batchImportModelEvaluationSlices(parent, modelEvaluationSlices);
 }
 
Parameters
NameDescription
parentString

Required. The name of the parent ModelEvaluation resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

modelEvaluationSlicesList<ModelEvaluationSlice>

Required. Model evaluation slice resource to be imported.

Returns
TypeDescription
BatchImportModelEvaluationSlicesResponse

batchImportModelEvaluationSlicesCallable()

public final UnaryCallable<BatchImportModelEvaluationSlicesRequest,BatchImportModelEvaluationSlicesResponse> batchImportModelEvaluationSlicesCallable()

Imports a list of externally generated ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   BatchImportModelEvaluationSlicesRequest request =
       BatchImportModelEvaluationSlicesRequest.newBuilder()
           .setParent(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
                   .toString())
           .addAllModelEvaluationSlices(new ArrayList<ModelEvaluationSlice>())
           .build();
   ApiFuture<BatchImportModelEvaluationSlicesResponse> future =
       modelServiceClient.batchImportModelEvaluationSlicesCallable().futureCall(request);
   // Do something.
   BatchImportModelEvaluationSlicesResponse response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<BatchImportModelEvaluationSlicesRequest,BatchImportModelEvaluationSlicesResponse>

close()

public final void close()

copyModelAsync(CopyModelRequest request)

public final OperationFuture<CopyModelResponse,CopyModelOperationMetadata> copyModelAsync(CopyModelRequest request)

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   CopyModelRequest request =
       CopyModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setEncryptionSpec(EncryptionSpec.newBuilder().build())
           .build();
   CopyModelResponse response = modelServiceClient.copyModelAsync(request).get();
 }
 
Parameter
NameDescription
requestCopyModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<CopyModelResponse,CopyModelOperationMetadata>

copyModelAsync(LocationName parent, ModelName sourceModel)

public final OperationFuture<CopyModelResponse,CopyModelOperationMetadata> copyModelAsync(LocationName parent, ModelName sourceModel)

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
 }
 
Parameters
NameDescription
parentLocationName

Required. The resource name of the Location into which to copy the Model. Format: projects/{project}/locations/{location}

sourceModelModelName

Required. The resource name of the Model to copy. That Model must be in the same Project. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<CopyModelResponse,CopyModelOperationMetadata>

copyModelAsync(LocationName parent, String sourceModel)

public final OperationFuture<CopyModelResponse,CopyModelOperationMetadata> copyModelAsync(LocationName parent, String sourceModel)

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
 }
 
Parameters
NameDescription
parentLocationName

Required. The resource name of the Location into which to copy the Model. Format: projects/{project}/locations/{location}

sourceModelString

Required. The resource name of the Model to copy. That Model must be in the same Project. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<CopyModelResponse,CopyModelOperationMetadata>

copyModelAsync(String parent, ModelName sourceModel)

public final OperationFuture<CopyModelResponse,CopyModelOperationMetadata> copyModelAsync(String parent, ModelName sourceModel)

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
 }
 
Parameters
NameDescription
parentString

Required. The resource name of the Location into which to copy the Model. Format: projects/{project}/locations/{location}

sourceModelModelName

Required. The resource name of the Model to copy. That Model must be in the same Project. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<CopyModelResponse,CopyModelOperationMetadata>

copyModelAsync(String parent, String sourceModel)

public final OperationFuture<CopyModelResponse,CopyModelOperationMetadata> copyModelAsync(String parent, String sourceModel)

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
 }
 
Parameters
NameDescription
parentString

Required. The resource name of the Location into which to copy the Model. Format: projects/{project}/locations/{location}

sourceModelString

Required. The resource name of the Model to copy. That Model must be in the same Project. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<CopyModelResponse,CopyModelOperationMetadata>

copyModelCallable()

public final UnaryCallable<CopyModelRequest,Operation> copyModelCallable()

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


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

copyModelOperationCallable()

public final OperationCallable<CopyModelRequest,CopyModelResponse,CopyModelOperationMetadata> copyModelOperationCallable()

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   CopyModelRequest request =
       CopyModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setEncryptionSpec(EncryptionSpec.newBuilder().build())
           .build();
   OperationFuture<CopyModelResponse, CopyModelOperationMetadata> future =
       modelServiceClient.copyModelOperationCallable().futureCall(request);
   // Do something.
   CopyModelResponse response = future.get();
 }
 
Returns
TypeDescription
OperationCallable<CopyModelRequest,CopyModelResponse,CopyModelOperationMetadata>

deleteModelAsync(DeleteModelRequest request)

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

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   modelServiceClient.deleteModelAsync(request).get();
 }
 
Parameter
NameDescription
requestDeleteModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelAsync(ModelName name)

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

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   modelServiceClient.deleteModelAsync(name).get();
 }
 
Parameter
NameDescription
nameModelName

Required. The name of the Model resource to be deleted. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelAsync(String name)

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

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   modelServiceClient.deleteModelAsync(name).get();
 }
 
Parameter
NameDescription
nameString

Required. The name of the Model resource to be deleted. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelCallable()

public final UnaryCallable<DeleteModelRequest,Operation> deleteModelCallable()

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Operation> future = modelServiceClient.deleteModelCallable().futureCall(request);
   // Do something.
   future.get();
 }
 
Returns
TypeDescription
UnaryCallable<DeleteModelRequest,Operation>

deleteModelOperationCallable()

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

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   DeleteModelRequest request =
       DeleteModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   OperationFuture<Empty, DeleteOperationMetadata> future =
       modelServiceClient.deleteModelOperationCallable().futureCall(request);
   // Do something.
   future.get();
 }
 
Returns
TypeDescription
OperationCallable<DeleteModelRequest,Empty,DeleteOperationMetadata>

deleteModelVersionAsync(DeleteModelVersionRequest request)

public final OperationFuture<Empty,DeleteOperationMetadata> deleteModelVersionAsync(DeleteModelVersionRequest request)

Deletes a Model version.

Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   DeleteModelVersionRequest request =
       DeleteModelVersionRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   modelServiceClient.deleteModelVersionAsync(request).get();
 }
 
Parameter
NameDescription
requestDeleteModelVersionRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelVersionAsync(ModelName name)

public final OperationFuture<Empty,DeleteOperationMetadata> deleteModelVersionAsync(ModelName name)

Deletes a Model version.

Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Sample code:


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

Required. The name of the model version to be deleted, with a version ID explicitly included.

Example: projects/{project}/locations/{location}/models/{model}@1234

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelVersionAsync(String name)

public final OperationFuture<Empty,DeleteOperationMetadata> deleteModelVersionAsync(String name)

Deletes a Model version.

Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   modelServiceClient.deleteModelVersionAsync(name).get();
 }
 
Parameter
NameDescription
nameString

Required. The name of the model version to be deleted, with a version ID explicitly included.

Example: projects/{project}/locations/{location}/models/{model}@1234

Returns
TypeDescription
OperationFuture<Empty,DeleteOperationMetadata>

deleteModelVersionCallable()

public final UnaryCallable<DeleteModelVersionRequest,Operation> deleteModelVersionCallable()

Deletes a Model version.

Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Sample code:


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

deleteModelVersionOperationCallable()

public final OperationCallable<DeleteModelVersionRequest,Empty,DeleteOperationMetadata> deleteModelVersionOperationCallable()

Deletes a Model version.

Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Sample code:


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

exportModelAsync(ExportModelRequest request)

public final OperationFuture<ExportModelResponse,ExportModelOperationMetadata> exportModelAsync(ExportModelRequest request)

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ExportModelRequest request =
       ExportModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setOutputConfig(ExportModelRequest.OutputConfig.newBuilder().build())
           .build();
   ExportModelResponse response = modelServiceClient.exportModelAsync(request).get();
 }
 
Parameter
NameDescription
requestExportModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<ExportModelResponse,ExportModelOperationMetadata>

exportModelAsync(ModelName name, ExportModelRequest.OutputConfig outputConfig)

public final OperationFuture<ExportModelResponse,ExportModelOperationMetadata> exportModelAsync(ModelName name, ExportModelRequest.OutputConfig outputConfig)

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExportModelRequest.OutputConfig outputConfig =
       ExportModelRequest.OutputConfig.newBuilder().build();
   ExportModelResponse response = modelServiceClient.exportModelAsync(name, outputConfig).get();
 }
 
Parameters
NameDescription
nameModelName

Required. The resource name of the Model to export. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be exported.

outputConfigExportModelRequest.OutputConfig

Required. The desired output location and configuration.

Returns
TypeDescription
OperationFuture<ExportModelResponse,ExportModelOperationMetadata>

exportModelAsync(String name, ExportModelRequest.OutputConfig outputConfig)

public final OperationFuture<ExportModelResponse,ExportModelOperationMetadata> exportModelAsync(String name, ExportModelRequest.OutputConfig outputConfig)

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   ExportModelRequest.OutputConfig outputConfig =
       ExportModelRequest.OutputConfig.newBuilder().build();
   ExportModelResponse response = modelServiceClient.exportModelAsync(name, outputConfig).get();
 }
 
Parameters
NameDescription
nameString

Required. The resource name of the Model to export. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be exported.

outputConfigExportModelRequest.OutputConfig

Required. The desired output location and configuration.

Returns
TypeDescription
OperationFuture<ExportModelResponse,ExportModelOperationMetadata>

exportModelCallable()

public final UnaryCallable<ExportModelRequest,Operation> exportModelCallable()

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

Sample code:


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

exportModelOperationCallable()

public final OperationCallable<ExportModelRequest,ExportModelResponse,ExportModelOperationMetadata> exportModelOperationCallable()

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

Sample code:


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

getIamPolicy(GetIamPolicyRequest request)

public final Policy getIamPolicy(GetIamPolicyRequest request)

Gets the access control policy for a resource. Returns an empty policyif the resource exists and does not have a policy set.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetIamPolicyRequest request =
       GetIamPolicyRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .setOptions(GetPolicyOptions.newBuilder().build())
           .build();
   Policy response = modelServiceClient.getIamPolicy(request);
 }
 
Parameter
NameDescription
requestcom.google.iam.v1.GetIamPolicyRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
com.google.iam.v1.Policy

getIamPolicyCallable()

public final UnaryCallable<GetIamPolicyRequest,Policy> getIamPolicyCallable()

Gets the access control policy for a resource. Returns an empty policyif the resource exists and does not have a policy set.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetIamPolicyRequest request =
       GetIamPolicyRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .setOptions(GetPolicyOptions.newBuilder().build())
           .build();
   ApiFuture<Policy> future = modelServiceClient.getIamPolicyCallable().futureCall(request);
   // Do something.
   Policy response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<com.google.iam.v1.GetIamPolicyRequest,com.google.iam.v1.Policy>

getLocation(GetLocationRequest request)

public final Location getLocation(GetLocationRequest request)

Gets information about a location.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetLocationRequest request = GetLocationRequest.newBuilder().setName("name3373707").build();
   Location response = modelServiceClient.getLocation(request);
 }
 
Parameter
NameDescription
requestcom.google.cloud.location.GetLocationRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
com.google.cloud.location.Location

getLocationCallable()

public final UnaryCallable<GetLocationRequest,Location> getLocationCallable()

Gets information about a location.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetLocationRequest request = GetLocationRequest.newBuilder().setName("name3373707").build();
   ApiFuture<Location> future = modelServiceClient.getLocationCallable().futureCall(request);
   // Do something.
   Location response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<com.google.cloud.location.GetLocationRequest,com.google.cloud.location.Location>

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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetModelRequest request =
       GetModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   Model response = modelServiceClient.getModel(request);
 }
 
Parameter
NameDescription
requestGetModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   Model response = modelServiceClient.getModel(name);
 }
 
Parameter
NameDescription
nameModelName

Required. The name of the Model resource. Format: projects/{project}/locations/{location}/models/{model}

In order to retrieve a specific version of the model, also provide the version ID or version alias. Example: projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden If no version ID or alias is specified, the "default" version will be returned. The "default" version alias is created for the first version of the model, and can be moved to other versions later on. There will be exactly one default version.

Returns
TypeDescription
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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   Model response = modelServiceClient.getModel(name);
 }
 
Parameter
NameDescription
nameString

Required. The name of the Model resource. Format: projects/{project}/locations/{location}/models/{model}

In order to retrieve a specific version of the model, also provide the version ID or version alias. Example: projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden If no version ID or alias is specified, the "default" version will be returned. The "default" version alias is created for the first version of the model, and can be moved to other versions later on. There will be exactly one default version.

Returns
TypeDescription
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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetModelRequest request =
       GetModelRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .build();
   ApiFuture<Model> future = modelServiceClient.getModelCallable().futureCall(request);
   // Do something.
   Model response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<GetModelRequest,Model>

getModelEvaluation(GetModelEvaluationRequest request)

public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request)

Gets a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetModelEvaluationRequest request =
       GetModelEvaluationRequest.newBuilder()
           .setName(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
                   .toString())
           .build();
   ModelEvaluation response = modelServiceClient.getModelEvaluation(request);
 }
 
Parameter
NameDescription
requestGetModelEvaluationRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelEvaluation

getModelEvaluation(ModelEvaluationName name)

public final ModelEvaluation getModelEvaluation(ModelEvaluationName name)

Gets a ModelEvaluation.

Sample code:


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

Required. The name of the ModelEvaluation resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

Returns
TypeDescription
ModelEvaluation

getModelEvaluation(String name)

public final ModelEvaluation getModelEvaluation(String name)

Gets a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]").toString();
   ModelEvaluation response = modelServiceClient.getModelEvaluation(name);
 }
 
Parameter
NameDescription
nameString

Required. The name of the ModelEvaluation resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

Returns
TypeDescription
ModelEvaluation

getModelEvaluationCallable()

public final UnaryCallable<GetModelEvaluationRequest,ModelEvaluation> getModelEvaluationCallable()

Gets a ModelEvaluation.

Sample code:


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

getModelEvaluationSlice(GetModelEvaluationSliceRequest request)

public final ModelEvaluationSlice getModelEvaluationSlice(GetModelEvaluationSliceRequest request)

Gets a ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   GetModelEvaluationSliceRequest request =
       GetModelEvaluationSliceRequest.newBuilder()
           .setName(
               ModelEvaluationSliceName.of(
                       "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
                   .toString())
           .build();
   ModelEvaluationSlice response = modelServiceClient.getModelEvaluationSlice(request);
 }
 
Parameter
NameDescription
requestGetModelEvaluationSliceRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelEvaluationSlice

getModelEvaluationSlice(ModelEvaluationSliceName name)

public final ModelEvaluationSlice getModelEvaluationSlice(ModelEvaluationSliceName name)

Gets a ModelEvaluationSlice.

Sample code:


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

Required. The name of the ModelEvaluationSlice resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}

Returns
TypeDescription
ModelEvaluationSlice

getModelEvaluationSlice(String name)

public final ModelEvaluationSlice getModelEvaluationSlice(String name)

Gets a ModelEvaluationSlice.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name =
       ModelEvaluationSliceName.of(
               "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
           .toString();
   ModelEvaluationSlice response = modelServiceClient.getModelEvaluationSlice(name);
 }
 
Parameter
NameDescription
nameString

Required. The name of the ModelEvaluationSlice resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}

Returns
TypeDescription
ModelEvaluationSlice

getModelEvaluationSliceCallable()

public final UnaryCallable<GetModelEvaluationSliceRequest,ModelEvaluationSlice> getModelEvaluationSliceCallable()

Gets a ModelEvaluationSlice.

Sample code:


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

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
TypeDescription
OperationsClient

getSettings()

public final ModelServiceSettings getSettings()
Returns
TypeDescription
ModelServiceSettings

getStub()

public ModelServiceStub getStub()
Returns
TypeDescription
ModelServiceStub

importModelEvaluation(ImportModelEvaluationRequest request)

public final ModelEvaluation importModelEvaluation(ImportModelEvaluationRequest request)

Imports an externally generated ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ImportModelEvaluationRequest request =
       ImportModelEvaluationRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setModelEvaluation(ModelEvaluation.newBuilder().build())
           .build();
   ModelEvaluation response = modelServiceClient.importModelEvaluation(request);
 }
 
Parameter
NameDescription
requestImportModelEvaluationRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelEvaluation

importModelEvaluation(ModelName parent, ModelEvaluation modelEvaluation)

public final ModelEvaluation importModelEvaluation(ModelName parent, ModelEvaluation modelEvaluation)

Imports an externally generated ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ModelEvaluation modelEvaluation = ModelEvaluation.newBuilder().build();
   ModelEvaluation response = modelServiceClient.importModelEvaluation(parent, modelEvaluation);
 }
 
Parameters
NameDescription
parentModelName

Required. The name of the parent model resource. Format: projects/{project}/locations/{location}/models/{model}

modelEvaluationModelEvaluation

Required. Model evaluation resource to be imported.

Returns
TypeDescription
ModelEvaluation

importModelEvaluation(String parent, ModelEvaluation modelEvaluation)

public final ModelEvaluation importModelEvaluation(String parent, ModelEvaluation modelEvaluation)

Imports an externally generated ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   ModelEvaluation modelEvaluation = ModelEvaluation.newBuilder().build();
   ModelEvaluation response = modelServiceClient.importModelEvaluation(parent, modelEvaluation);
 }
 
Parameters
NameDescription
parentString

Required. The name of the parent model resource. Format: projects/{project}/locations/{location}/models/{model}

modelEvaluationModelEvaluation

Required. Model evaluation resource to be imported.

Returns
TypeDescription
ModelEvaluation

importModelEvaluationCallable()

public final UnaryCallable<ImportModelEvaluationRequest,ModelEvaluation> importModelEvaluationCallable()

Imports an externally generated ModelEvaluation.

Sample code:


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

isShutdown()

public boolean isShutdown()
Returns
TypeDescription
boolean

isTerminated()

public boolean isTerminated()
Returns
TypeDescription
boolean

listLocations(ListLocationsRequest request)

public final ModelServiceClient.ListLocationsPagedResponse listLocations(ListLocationsRequest request)

Lists information about the supported locations for this service.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListLocationsRequest request =
       ListLocationsRequest.newBuilder()
           .setName("name3373707")
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   for (Location element : modelServiceClient.listLocations(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
requestcom.google.cloud.location.ListLocationsRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelServiceClient.ListLocationsPagedResponse

listLocationsCallable()

public final UnaryCallable<ListLocationsRequest,ListLocationsResponse> listLocationsCallable()

Lists information about the supported locations for this service.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListLocationsRequest request =
       ListLocationsRequest.newBuilder()
           .setName("name3373707")
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   while (true) {
     ListLocationsResponse response = modelServiceClient.listLocationsCallable().call(request);
     for (Location element : response.getLocationsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }
 
Returns
TypeDescription
UnaryCallable<com.google.cloud.location.ListLocationsRequest,com.google.cloud.location.ListLocationsResponse>

listLocationsPagedCallable()

public final UnaryCallable<ListLocationsRequest,ModelServiceClient.ListLocationsPagedResponse> listLocationsPagedCallable()

Lists information about the supported locations for this service.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListLocationsRequest request =
       ListLocationsRequest.newBuilder()
           .setName("name3373707")
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .build();
   ApiFuture<Location> future =
       modelServiceClient.listLocationsPagedCallable().futureCall(request);
   // Do something.
   for (Location element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Returns
TypeDescription
UnaryCallable<com.google.cloud.location.ListLocationsRequest,ListLocationsPagedResponse>

listModelEvaluationSlices(ListModelEvaluationSlicesRequest request)

public final ModelServiceClient.ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(ListModelEvaluationSlicesRequest request)

Lists ModelEvaluationSlices in a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelEvaluationSlicesRequest request =
       ListModelEvaluationSlicesRequest.newBuilder()
           .setParent(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
                   .toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setReadMask(FieldMask.newBuilder().build())
           .build();
   for (ModelEvaluationSlice element :
       modelServiceClient.listModelEvaluationSlices(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
requestListModelEvaluationSlicesRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationSlicesPagedResponse

listModelEvaluationSlices(ModelEvaluationName parent)

public final ModelServiceClient.ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(ModelEvaluationName parent)

Lists ModelEvaluationSlices in a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelEvaluationName parent =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
   for (ModelEvaluationSlice element :
       modelServiceClient.listModelEvaluationSlices(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentModelEvaluationName

Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices from. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationSlicesPagedResponse

listModelEvaluationSlices(String parent)

public final ModelServiceClient.ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(String parent)

Lists ModelEvaluationSlices in a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent =
       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]").toString();
   for (ModelEvaluationSlice element :
       modelServiceClient.listModelEvaluationSlices(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentString

Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices from. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationSlicesPagedResponse

listModelEvaluationSlicesCallable()

public final UnaryCallable<ListModelEvaluationSlicesRequest,ListModelEvaluationSlicesResponse> listModelEvaluationSlicesCallable()

Lists ModelEvaluationSlices in a ModelEvaluation.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelEvaluationSlicesRequest request =
       ListModelEvaluationSlicesRequest.newBuilder()
           .setParent(
               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
                   .toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setReadMask(FieldMask.newBuilder().build())
           .build();
   while (true) {
     ListModelEvaluationSlicesResponse response =
         modelServiceClient.listModelEvaluationSlicesCallable().call(request);
     for (ModelEvaluationSlice element : response.getModelEvaluationSlicesList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }
 
Returns
TypeDescription
UnaryCallable<ListModelEvaluationSlicesRequest,ListModelEvaluationSlicesResponse>

listModelEvaluationSlicesPagedCallable()

public final UnaryCallable<ListModelEvaluationSlicesRequest,ModelServiceClient.ListModelEvaluationSlicesPagedResponse> listModelEvaluationSlicesPagedCallable()

Lists ModelEvaluationSlices in a ModelEvaluation.

Sample code:


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

listModelEvaluations(ListModelEvaluationsRequest request)

public final ModelServiceClient.ListModelEvaluationsPagedResponse listModelEvaluations(ListModelEvaluationsRequest request)

Lists ModelEvaluations in 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setReadMask(FieldMask.newBuilder().build())
           .build();
   for (ModelEvaluation element :
       modelServiceClient.listModelEvaluations(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
requestListModelEvaluationsRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationsPagedResponse

listModelEvaluations(ModelName parent)

public final ModelServiceClient.ListModelEvaluationsPagedResponse listModelEvaluations(ModelName parent)

Lists ModelEvaluations in 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   for (ModelEvaluation element : modelServiceClient.listModelEvaluations(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentModelName

Required. The resource name of the Model to list the ModelEvaluations from. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationsPagedResponse

listModelEvaluations(String parent)

public final ModelServiceClient.ListModelEvaluationsPagedResponse listModelEvaluations(String parent)

Lists ModelEvaluations in 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   for (ModelEvaluation element : modelServiceClient.listModelEvaluations(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentString

Required. The resource name of the Model to list the ModelEvaluations from. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
ModelServiceClient.ListModelEvaluationsPagedResponse

listModelEvaluationsCallable()

public final UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsResponse> listModelEvaluationsCallable()

Lists ModelEvaluations in 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setReadMask(FieldMask.newBuilder().build())
           .build();
   while (true) {
     ListModelEvaluationsResponse response =
         modelServiceClient.listModelEvaluationsCallable().call(request);
     for (ModelEvaluation element : response.getModelEvaluationsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }
 
Returns
TypeDescription
UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsResponse>

listModelEvaluationsPagedCallable()

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

Lists ModelEvaluations in 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelEvaluationsRequest request =
       ListModelEvaluationsRequest.newBuilder()
           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setFilter("filter-1274492040")
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setReadMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<ModelEvaluation> future =
       modelServiceClient.listModelEvaluationsPagedCallable().futureCall(request);
   // Do something.
   for (ModelEvaluation element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Returns
TypeDescription
UnaryCallable<ListModelEvaluationsRequest,ListModelEvaluationsPagedResponse>

listModelVersions(ListModelVersionsRequest request)

public final ModelServiceClient.ListModelVersionsPagedResponse listModelVersions(ListModelVersionsRequest request)

Lists versions of the specified 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelVersionsRequest request =
       ListModelVersionsRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setFilter("filter-1274492040")
           .setReadMask(FieldMask.newBuilder().build())
           .setOrderBy("orderBy-1207110587")
           .build();
   for (Model element : modelServiceClient.listModelVersions(request).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
requestListModelVersionsRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelServiceClient.ListModelVersionsPagedResponse

listModelVersions(ModelName name)

public final ModelServiceClient.ListModelVersionsPagedResponse listModelVersions(ModelName name)

Lists versions of the specified 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   for (Model element : modelServiceClient.listModelVersions(name).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
nameModelName

Required. The name of the model to list versions for.

Returns
TypeDescription
ModelServiceClient.ListModelVersionsPagedResponse

listModelVersions(String name)

public final ModelServiceClient.ListModelVersionsPagedResponse listModelVersions(String name)

Lists versions of the specified 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   for (Model element : modelServiceClient.listModelVersions(name).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
nameString

Required. The name of the model to list versions for.

Returns
TypeDescription
ModelServiceClient.ListModelVersionsPagedResponse

listModelVersionsCallable()

public final UnaryCallable<ListModelVersionsRequest,ListModelVersionsResponse> listModelVersionsCallable()

Lists versions of the specified 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelVersionsRequest request =
       ListModelVersionsRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setFilter("filter-1274492040")
           .setReadMask(FieldMask.newBuilder().build())
           .setOrderBy("orderBy-1207110587")
           .build();
   while (true) {
     ListModelVersionsResponse response =
         modelServiceClient.listModelVersionsCallable().call(request);
     for (Model element : response.getModelsList()) {
       // doThingsWith(element);
     }
     String nextPageToken = response.getNextPageToken();
     if (!Strings.isNullOrEmpty(nextPageToken)) {
       request = request.toBuilder().setPageToken(nextPageToken).build();
     } else {
       break;
     }
   }
 }
 
Returns
TypeDescription
UnaryCallable<ListModelVersionsRequest,ListModelVersionsResponse>

listModelVersionsPagedCallable()

public final UnaryCallable<ListModelVersionsRequest,ModelServiceClient.ListModelVersionsPagedResponse> listModelVersionsPagedCallable()

Lists versions of the specified 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ListModelVersionsRequest request =
       ListModelVersionsRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setPageSize(883849137)
           .setPageToken("pageToken873572522")
           .setFilter("filter-1274492040")
           .setReadMask(FieldMask.newBuilder().build())
           .setOrderBy("orderBy-1207110587")
           .build();
   ApiFuture<Model> future =
       modelServiceClient.listModelVersionsPagedCallable().futureCall(request);
   // Do something.
   for (Model element : future.get().iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Returns
TypeDescription
UnaryCallable<ListModelVersionsRequest,ListModelVersionsPagedResponse>

listModels(ListModelsRequest request)

public final ModelServiceClient.ListModelsPagedResponse listModels(ListModelsRequest request)

Lists Models in a Location.

Sample code:


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

The request object containing all of the parameters for the API call.

Returns
TypeDescription
ModelServiceClient.ListModelsPagedResponse

listModels(LocationName parent)

public final ModelServiceClient.ListModelsPagedResponse listModels(LocationName parent)

Lists Models in a Location.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   for (Model element : modelServiceClient.listModels(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentLocationName

Required. The resource name of the Location to list the Models from. Format: projects/{project}/locations/{location}

Returns
TypeDescription
ModelServiceClient.ListModelsPagedResponse

listModels(String parent)

public final ModelServiceClient.ListModelsPagedResponse listModels(String parent)

Lists Models in a Location.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   for (Model element : modelServiceClient.listModels(parent).iterateAll()) {
     // doThingsWith(element);
   }
 }
 
Parameter
NameDescription
parentString

Required. The resource name of the Location to list the Models from. Format: projects/{project}/locations/{location}

Returns
TypeDescription
ModelServiceClient.ListModelsPagedResponse

listModelsCallable()

public final UnaryCallable<ListModelsRequest,ListModelsResponse> listModelsCallable()

Lists Models in a Location.

Sample code:


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

listModelsPagedCallable()

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

Lists Models in a Location.

Sample code:


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

mergeVersionAliases(MergeVersionAliasesRequest request)

public final Model mergeVersionAliases(MergeVersionAliasesRequest request)

Merges a set of aliases for a Model version.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   MergeVersionAliasesRequest request =
       MergeVersionAliasesRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .addAllVersionAliases(new ArrayList<String>())
           .build();
   Model response = modelServiceClient.mergeVersionAliases(request);
 }
 
Parameter
NameDescription
requestMergeVersionAliasesRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
Model

mergeVersionAliases(ModelName name, List<String> versionAliases)

public final Model mergeVersionAliases(ModelName name, List<String> versionAliases)

Merges a set of aliases for a Model version.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   List<String> versionAliases = new ArrayList<>();
   Model response = modelServiceClient.mergeVersionAliases(name, versionAliases);
 }
 
Parameters
NameDescription
nameModelName

Required. The name of the model version to merge aliases, with a version ID explicitly included.

Example: projects/{project}/locations/{location}/models/{model}@1234

versionAliasesList<String>

Required. The set of version aliases to merge. The alias should be at most 128 characters, and match a-z{0,126}[a-z-0-9]. Add the - prefix to an alias means removing that alias from the version. - is NOT counted in the 128 characters. Example: -golden means removing the golden alias from the version.

There is NO ordering in aliases, which means 1) The aliases returned from GetModel API might not have the exactly same order from this MergeVersionAliases API. 2) Adding and deleting the same alias in the request is not recommended, and the 2 operations will be cancelled out.

Returns
TypeDescription
Model

mergeVersionAliases(String name, List<String> versionAliases)

public final Model mergeVersionAliases(String name, List<String> versionAliases)

Merges a set of aliases for a Model version.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   List<String> versionAliases = new ArrayList<>();
   Model response = modelServiceClient.mergeVersionAliases(name, versionAliases);
 }
 
Parameters
NameDescription
nameString

Required. The name of the model version to merge aliases, with a version ID explicitly included.

Example: projects/{project}/locations/{location}/models/{model}@1234

versionAliasesList<String>

Required. The set of version aliases to merge. The alias should be at most 128 characters, and match a-z{0,126}[a-z-0-9]. Add the - prefix to an alias means removing that alias from the version. - is NOT counted in the 128 characters. Example: -golden means removing the golden alias from the version.

There is NO ordering in aliases, which means 1) The aliases returned from GetModel API might not have the exactly same order from this MergeVersionAliases API. 2) Adding and deleting the same alias in the request is not recommended, and the 2 operations will be cancelled out.

Returns
TypeDescription
Model

mergeVersionAliasesCallable()

public final UnaryCallable<MergeVersionAliasesRequest,Model> mergeVersionAliasesCallable()

Merges a set of aliases for a Model version.

Sample code:


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

setIamPolicy(SetIamPolicyRequest request)

public final Policy setIamPolicy(SetIamPolicyRequest request)

Sets the access control policy on the specified resource. Replacesany existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIEDerrors.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   SetIamPolicyRequest request =
       SetIamPolicyRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .setPolicy(Policy.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   Policy response = modelServiceClient.setIamPolicy(request);
 }
 
Parameter
NameDescription
requestcom.google.iam.v1.SetIamPolicyRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
com.google.iam.v1.Policy

setIamPolicyCallable()

public final UnaryCallable<SetIamPolicyRequest,Policy> setIamPolicyCallable()

Sets the access control policy on the specified resource. Replacesany existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIEDerrors.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   SetIamPolicyRequest request =
       SetIamPolicyRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .setPolicy(Policy.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<Policy> future = modelServiceClient.setIamPolicyCallable().futureCall(request);
   // Do something.
   Policy response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<com.google.iam.v1.SetIamPolicyRequest,com.google.iam.v1.Policy>

shutdown()

public void shutdown()

shutdownNow()

public void shutdownNow()

testIamPermissions(TestIamPermissionsRequest request)

public final TestIamPermissionsResponse testIamPermissions(TestIamPermissionsRequest request)

Returns permissions that a caller has on the specified resource. If theresource does not exist, this will return an empty set ofpermissions, not a NOT_FOUND error.

Note: This operation is designed to be used for buildingpermission-aware UIs and command-line tools, not for authorizationchecking. This operation may "fail open" without warning.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   TestIamPermissionsRequest request =
       TestIamPermissionsRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .addAllPermissions(new ArrayList<String>())
           .build();
   TestIamPermissionsResponse response = modelServiceClient.testIamPermissions(request);
 }
 
Parameter
NameDescription
requestcom.google.iam.v1.TestIamPermissionsRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
com.google.iam.v1.TestIamPermissionsResponse

testIamPermissionsCallable()

public final UnaryCallable<TestIamPermissionsRequest,TestIamPermissionsResponse> testIamPermissionsCallable()

Returns permissions that a caller has on the specified resource. If theresource does not exist, this will return an empty set ofpermissions, not a NOT_FOUND error.

Note: This operation is designed to be used for buildingpermission-aware UIs and command-line tools, not for authorizationchecking. This operation may "fail open" without warning.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   TestIamPermissionsRequest request =
       TestIamPermissionsRequest.newBuilder()
           .setResource(
               EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
                   .toString())
           .addAllPermissions(new ArrayList<String>())
           .build();
   ApiFuture<TestIamPermissionsResponse> future =
       modelServiceClient.testIamPermissionsCallable().futureCall(request);
   // Do something.
   TestIamPermissionsResponse response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<com.google.iam.v1.TestIamPermissionsRequest,com.google.iam.v1.TestIamPermissionsResponse>

updateExplanationDatasetAsync(ModelName model)

public final OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata> updateExplanationDatasetAsync(ModelName model)

Incrementally update the dataset used for an examples 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   ModelName model = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   UpdateExplanationDatasetResponse response =
       modelServiceClient.updateExplanationDatasetAsync(model).get();
 }
 
Parameter
NameDescription
modelModelName

Required. The resource name of the Model to update. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata>

updateExplanationDatasetAsync(UpdateExplanationDatasetRequest request)

public final OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata> updateExplanationDatasetAsync(UpdateExplanationDatasetRequest request)

Incrementally update the dataset used for an examples 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UpdateExplanationDatasetRequest request =
       UpdateExplanationDatasetRequest.newBuilder()
           .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setExamples(Examples.newBuilder().build())
           .build();
   UpdateExplanationDatasetResponse response =
       modelServiceClient.updateExplanationDatasetAsync(request).get();
 }
 
Parameter
NameDescription
requestUpdateExplanationDatasetRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata>

updateExplanationDatasetAsync(String model)

public final OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata> updateExplanationDatasetAsync(String model)

Incrementally update the dataset used for an examples 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String model = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   UpdateExplanationDatasetResponse response =
       modelServiceClient.updateExplanationDatasetAsync(model).get();
 }
 
Parameter
NameDescription
modelString

Required. The resource name of the Model to update. Format: projects/{project}/locations/{location}/models/{model}

Returns
TypeDescription
OperationFuture<UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata>

updateExplanationDatasetCallable()

public final UnaryCallable<UpdateExplanationDatasetRequest,Operation> updateExplanationDatasetCallable()

Incrementally update the dataset used for an examples 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UpdateExplanationDatasetRequest request =
       UpdateExplanationDatasetRequest.newBuilder()
           .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setExamples(Examples.newBuilder().build())
           .build();
   ApiFuture<Operation> future =
       modelServiceClient.updateExplanationDatasetCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<UpdateExplanationDatasetRequest,Operation>

updateExplanationDatasetOperationCallable()

public final OperationCallable<UpdateExplanationDatasetRequest,UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata> updateExplanationDatasetOperationCallable()

Incrementally update the dataset used for an examples 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 (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UpdateExplanationDatasetRequest request =
       UpdateExplanationDatasetRequest.newBuilder()
           .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setExamples(Examples.newBuilder().build())
           .build();
   OperationFuture<UpdateExplanationDatasetResponse, UpdateExplanationDatasetOperationMetadata>
       future =
           modelServiceClient.updateExplanationDatasetOperationCallable().futureCall(request);
   // Do something.
   UpdateExplanationDatasetResponse response = future.get();
 }
 
Returns
TypeDescription
OperationCallable<UpdateExplanationDatasetRequest,UpdateExplanationDatasetResponse,UpdateExplanationDatasetOperationMetadata>

updateModel(Model model, FieldMask updateMask)

public final Model updateModel(Model model, FieldMask updateMask)

Updates a Model.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   Model model = Model.newBuilder().build();
   FieldMask updateMask = FieldMask.newBuilder().build();
   Model response = modelServiceClient.updateModel(model, updateMask);
 }
 
Parameters
NameDescription
modelModel

Required. The Model which replaces the resource on the server. When Model Versioning is enabled, the model.name will be used to determine whether to update the model or model version. 1. model.name with the @ value, e.g. models/123@1, refers to a version specific update. 2. model.name without the @ value, e.g. models/123, refers to a model update. 3. model.name with @-, e.g. models/123@-, refers to a model update. 4. Supported model fields: display_name, description; supported version-specific fields: version_description. Labels are supported in both scenarios. Both the model labels and the version labels are merged when a model is returned. When updating labels, if the request is for model-specific update, model label gets updated. Otherwise, version labels get updated. 5. A model name or model version name fields update mismatch will cause a precondition error. 6. One request cannot update both the model and the version fields. You must update them separately.

updateMaskFieldMask

Required. The update mask applies to the resource. For the FieldMask definition, see google.protobuf.FieldMask.

Returns
TypeDescription
Model

updateModel(UpdateModelRequest request)

public final Model updateModel(UpdateModelRequest request)

Updates a Model.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UpdateModelRequest request =
       UpdateModelRequest.newBuilder()
           .setModel(Model.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   Model response = modelServiceClient.updateModel(request);
 }
 
Parameter
NameDescription
requestUpdateModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
Model

updateModelCallable()

public final UnaryCallable<UpdateModelRequest,Model> updateModelCallable()

Updates a Model.

Sample code:


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

uploadModelAsync(LocationName parent, Model model)

public final OperationFuture<UploadModelResponse,UploadModelOperationMetadata> uploadModelAsync(LocationName parent, Model model)

Uploads a Model artifact into Vertex AI.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
   Model model = Model.newBuilder().build();
   UploadModelResponse response = modelServiceClient.uploadModelAsync(parent, model).get();
 }
 
Parameters
NameDescription
parentLocationName

Required. The resource name of the Location into which to upload the Model. Format: projects/{project}/locations/{location}

modelModel

Required. The Model to create.

Returns
TypeDescription
OperationFuture<UploadModelResponse,UploadModelOperationMetadata>

uploadModelAsync(UploadModelRequest request)

public final OperationFuture<UploadModelResponse,UploadModelOperationMetadata> uploadModelAsync(UploadModelRequest request)

Uploads a Model artifact into Vertex AI.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UploadModelRequest request =
       UploadModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setParentModel("parentModel998431903")
           .setModelId("modelId1226956324")
           .setModel(Model.newBuilder().build())
           .setServiceAccount("serviceAccount1079137720")
           .build();
   UploadModelResponse response = modelServiceClient.uploadModelAsync(request).get();
 }
 
Parameter
NameDescription
requestUploadModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<UploadModelResponse,UploadModelOperationMetadata>

uploadModelAsync(String parent, Model model)

public final OperationFuture<UploadModelResponse,UploadModelOperationMetadata> uploadModelAsync(String parent, Model model)

Uploads a Model artifact into Vertex AI.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
   Model model = Model.newBuilder().build();
   UploadModelResponse response = modelServiceClient.uploadModelAsync(parent, model).get();
 }
 
Parameters
NameDescription
parentString

Required. The resource name of the Location into which to upload the Model. Format: projects/{project}/locations/{location}

modelModel

Required. The Model to create.

Returns
TypeDescription
OperationFuture<UploadModelResponse,UploadModelOperationMetadata>

uploadModelCallable()

public final UnaryCallable<UploadModelRequest,Operation> uploadModelCallable()

Uploads a Model artifact into Vertex AI.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UploadModelRequest request =
       UploadModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setParentModel("parentModel998431903")
           .setModelId("modelId1226956324")
           .setModel(Model.newBuilder().build())
           .setServiceAccount("serviceAccount1079137720")
           .build();
   ApiFuture<Operation> future = modelServiceClient.uploadModelCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<UploadModelRequest,Operation>

uploadModelOperationCallable()

public final OperationCallable<UploadModelRequest,UploadModelResponse,UploadModelOperationMetadata> uploadModelOperationCallable()

Uploads a Model artifact into Vertex AI.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
   UploadModelRequest request =
       UploadModelRequest.newBuilder()
           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
           .setParentModel("parentModel998431903")
           .setModelId("modelId1226956324")
           .setModel(Model.newBuilder().build())
           .setServiceAccount("serviceAccount1079137720")
           .build();
   OperationFuture<UploadModelResponse, UploadModelOperationMetadata> future =
       modelServiceClient.uploadModelOperationCallable().futureCall(request);
   // Do something.
   UploadModelResponse response = future.get();
 }
 
Returns
TypeDescription
OperationCallable<UploadModelRequest,UploadModelResponse,UploadModelOperationMetadata>