com.google.cloud.automl.v1beta1

Class PredictionServiceClient

java.lang.Object

com.google.cloud.automl.v1beta1.PredictionServiceClient

All Implemented Interfaces:

BackgroundResource, AutoCloseable

@Generated(value="by gapic-generator")
 @BetaApi
public class PredictionServiceClient
extends Object
implements BackgroundResource

Service Description: AutoML Prediction API.

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

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

 
 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   PredictResponse response = predictionServiceClient.predict(name, payload, params);
 }
 
 

Note: close() needs to be called on the predictionServiceClient 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 PredictionServiceSettings to create(). For example:

To customize credentials:

 
 PredictionServiceSettings predictionServiceSettings =
     PredictionServiceSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 PredictionServiceClient predictionServiceClient =
     PredictionServiceClient.create(predictionServiceSettings);
 
 

To customize the endpoint:

 
 PredictionServiceSettings predictionServiceSettings =
     PredictionServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
 PredictionServiceClient predictionServiceClient =
     PredictionServiceClient.create(predictionServiceSettings);
 
 

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	PredictionServiceClient(PredictionServiceSettings settings) Constructs an instance of PredictionServiceClient, using the given settings.
protected	PredictionServiceClient(PredictionServiceStub stub)

Method Summary

Modifier and Type	Method and Description
boolean	awaitTermination(long duration, TimeUnit unit)
OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata>	batchPredictAsync(com.google.cloud.automl.v1beta1.BatchPredictRequest request) Perform a batch prediction.
OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata>	batchPredictAsync(com.google.cloud.automl.v1beta1.ModelName name, com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig, com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig, Map<String,String> params) Perform a batch prediction.
OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata>	batchPredictAsync(String name, com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig, com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig, Map<String,String> params) Perform a batch prediction.
UnaryCallable<com.google.cloud.automl.v1beta1.BatchPredictRequest,Operation>	batchPredictCallable() Perform a batch prediction.
OperationCallable<com.google.cloud.automl.v1beta1.BatchPredictRequest,com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata>	batchPredictOperationCallable() Perform a batch prediction.
void	close()
static PredictionServiceClient	create() Constructs an instance of PredictionServiceClient with default settings.
static PredictionServiceClient	create(PredictionServiceSettings settings) Constructs an instance of PredictionServiceClient, using the given settings.
static PredictionServiceClient	create(PredictionServiceStub stub) Constructs an instance of PredictionServiceClient, using the given stub for making calls.
OperationsClient	getOperationsClient() Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.
PredictionServiceSettings	getSettings()
PredictionServiceStub	getStub()
boolean	isShutdown()
boolean	isTerminated()
com.google.cloud.automl.v1beta1.PredictResponse	predict(com.google.cloud.automl.v1beta1.ModelName name, com.google.cloud.automl.v1beta1.ExamplePayload payload, Map<String,String> params) Perform an online prediction.
com.google.cloud.automl.v1beta1.PredictResponse	predict(com.google.cloud.automl.v1beta1.PredictRequest request) Perform an online prediction.
com.google.cloud.automl.v1beta1.PredictResponse	predict(String name, com.google.cloud.automl.v1beta1.ExamplePayload payload, Map<String,String> params) Perform an online prediction.
UnaryCallable<com.google.cloud.automl.v1beta1.PredictRequest,com.google.cloud.automl.v1beta1.PredictResponse>	predictCallable() Perform an online prediction.
void	shutdown()
void	shutdownNow()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PredictionServiceClient

protected PredictionServiceClient(PredictionServiceSettings settings)
                           throws IOException

Constructs an instance of PredictionServiceClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.

Throws:

IOException

PredictionServiceClient

@BetaApi(value="A restructuring of stub classes is planned, so this may break in the future")
protected PredictionServiceClient(PredictionServiceStub stub)

Method Detail

create

public static final PredictionServiceClient create()
                                            throws IOException

Constructs an instance of PredictionServiceClient with default settings.

Throws:

IOException

create

public static final PredictionServiceClient create(PredictionServiceSettings settings)
                                            throws IOException

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

Throws:

IOException

create

@BetaApi(value="A restructuring of stub classes is planned, so this may break in the future")
public static final PredictionServiceClient create(PredictionServiceStub stub)

Constructs an instance of PredictionServiceClient, using the given stub for making calls. This is for advanced usage - prefer to use PredictionServiceSettings}.

getSettings

public final PredictionServiceSettings getSettings()

getStub

@BetaApi(value="A restructuring of stub classes is planned, so this may break in the future")
public PredictionServiceStub getStub()

getOperationsClient

@BetaApi(value="The surface for long-running operations is not stable yet and may change in the future.")
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.

predict

public final com.google.cloud.automl.v1beta1.PredictResponse predict(com.google.cloud.automl.v1beta1.ModelName name,
                                                                     com.google.cloud.automl.v1beta1.ExamplePayload payload,
                                                                     Map<String,String> params)

Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads: * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   PredictResponse response = predictionServiceClient.predict(name, payload, params);
 }
 

Parameters:

name - Name of the model requested to serve the prediction.

payload - Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.

params - Additional domain-specific parameters, any string must be up to 25000 characters long.

* For Image Classification:

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

* For Image Object Detection: `score_threshold` - (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.

Throws:

ApiException - if the remote call fails

predict

public final com.google.cloud.automl.v1beta1.PredictResponse predict(String name,
                                                                     com.google.cloud.automl.v1beta1.ExamplePayload payload,
                                                                     Map<String,String> params)

Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads: * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   PredictResponse response = predictionServiceClient.predict(name.toString(), payload, params);
 }
 

Parameters:

name - Name of the model requested to serve the prediction.

payload - Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.

params - Additional domain-specific parameters, any string must be up to 25000 characters long.

* For Image Classification:

`score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

* For Image Object Detection: `score_threshold` - (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` - (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.

Throws:

ApiException - if the remote call fails

predict

public final com.google.cloud.automl.v1beta1.PredictResponse predict(com.google.cloud.automl.v1beta1.PredictRequest request)

Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads: * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   PredictRequest request = PredictRequest.newBuilder()
     .setName(name.toString())
     .setPayload(payload)
     .build();
   PredictResponse response = predictionServiceClient.predict(request);
 }
 

Parameters:

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

Throws:

ApiException - if the remote call fails

predictCallable

public final UnaryCallable<com.google.cloud.automl.v1beta1.PredictRequest,com.google.cloud.automl.v1beta1.PredictResponse> predictCallable()

Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads: * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. * Text Classification - TextSnippet, content up to 10,000 characters, UTF-8 encoded. * Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded. * Tables - Row, with column values matching the columns of the model, up to 5MB. * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   PredictRequest request = PredictRequest.newBuilder()
     .setName(name.toString())
     .setPayload(payload)
     .build();
   ApiFuture<PredictResponse> future = predictionServiceClient.predictCallable().futureCall(request);
   // Do something
   PredictResponse response = future.get();
 }
 

batchPredictAsync

@BetaApi(value="The surface for long-running operations is not stable yet and may change in the future.")
public final OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata> batchPredictAsync(com.google.cloud.automl.v1beta1.ModelName name,
                                                                                                                                                                                                                                                               com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig,
                                                                                                                                                                                                                                                               com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig,
                                                                                                                                                                                                                                                               Map<String,String> params)

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems: * Video Classification * Text Extraction * Tables

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   BatchPredictResult response = predictionServiceClient.batchPredictAsync(name, inputConfig, outputConfig, params).get();
 }
 

Parameters:

name - Name of the model requested to serve the batch prediction.

inputConfig - Required. The input configuration for batch prediction.

outputConfig - Required. The Configuration specifying where output predictions should be written.

params - Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

* For Video Classification : `score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is "true". `shot_classification` - (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. The default is "false". `1s_interval_classification` - (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. The default is "false".

Throws:

ApiException - if the remote call fails

batchPredictAsync

@BetaApi(value="The surface for long-running operations is not stable yet and may change in the future.")
public final OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata> batchPredictAsync(String name,
                                                                                                                                                                                                                                                               com.google.cloud.automl.v1beta1.BatchPredictInputConfig inputConfig,
                                                                                                                                                                                                                                                               com.google.cloud.automl.v1beta1.BatchPredictOutputConfig outputConfig,
                                                                                                                                                                                                                                                               Map<String,String> params)

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems: * Video Classification * Text Extraction * Tables

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   BatchPredictResult response = predictionServiceClient.batchPredictAsync(name.toString(), inputConfig, outputConfig, params).get();
 }
 

Parameters:

name - Name of the model requested to serve the batch prediction.

inputConfig - Required. The input configuration for batch prediction.

outputConfig - Required. The Configuration specifying where output predictions should be written.

params - Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

* For Video Classification : `score_threshold` - (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` - (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is "true". `shot_classification` - (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. The default is "false". `1s_interval_classification` - (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. The default is "false".

Throws:

ApiException - if the remote call fails

batchPredictAsync

@BetaApi(value="The surface for long-running operations is not stable yet and may change in the future.")
public final OperationFuture<com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata> batchPredictAsync(com.google.cloud.automl.v1beta1.BatchPredictRequest request)

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems: * Video Classification * Text Extraction * Tables

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
   BatchPredictRequest request = BatchPredictRequest.newBuilder()
     .setName(name.toString())
     .setInputConfig(inputConfig)
     .setOutputConfig(outputConfig)
     .build();
   BatchPredictResult response = predictionServiceClient.batchPredictAsync(request).get();
 }
 

Parameters:

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

Throws:

ApiException - if the remote call fails

batchPredictOperationCallable

@BetaApi(value="The surface for use by generated code is not stable yet and may change in the future.")
public final OperationCallable<com.google.cloud.automl.v1beta1.BatchPredictRequest,com.google.cloud.automl.v1beta1.BatchPredictResult,com.google.cloud.automl.v1beta1.OperationMetadata> batchPredictOperationCallable()

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems: * Video Classification * Text Extraction * Tables

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
   BatchPredictRequest request = BatchPredictRequest.newBuilder()
     .setName(name.toString())
     .setInputConfig(inputConfig)
     .setOutputConfig(outputConfig)
     .build();
   OperationFuture<BatchPredictResult, OperationMetadata> future = predictionServiceClient.batchPredictOperationCallable().futureCall(request);
   // Do something
   BatchPredictResult response = future.get();
 }
 

batchPredictCallable

public final UnaryCallable<com.google.cloud.automl.v1beta1.BatchPredictRequest,Operation> batchPredictCallable()

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems: * Video Classification * Text Extraction * Tables

Sample code:

 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
   BatchPredictInputConfig inputConfig = BatchPredictInputConfig.newBuilder().build();
   BatchPredictOutputConfig outputConfig = BatchPredictOutputConfig.newBuilder().build();
   BatchPredictRequest request = BatchPredictRequest.newBuilder()
     .setName(name.toString())
     .setInputConfig(inputConfig)
     .setOutputConfig(outputConfig)
     .build();
   ApiFuture<Operation> future = predictionServiceClient.batchPredictCallable().futureCall(request);
   // Do something
   Operation response = future.get();
 }
 

close

public final void close()

Specified by:

close in interface AutoCloseable

shutdown

public void shutdown()

Specified by:

shutdown in interface BackgroundResource

isShutdown

public boolean isShutdown()

Specified by:

isShutdown in interface BackgroundResource

isTerminated

public boolean isTerminated()

Specified by:

isTerminated in interface BackgroundResource

shutdownNow

public void shutdownNow()

Specified by:

shutdownNow in interface BackgroundResource

awaitTermination

public boolean awaitTermination(long duration,
                                TimeUnit unit)
                         throws InterruptedException

Specified by:

awaitTermination in interface BackgroundResource

Throws:

InterruptedException