Package com.google.cloud.automl.v1beta1

Class PredictionServiceClient

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

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

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

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

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

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

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

    • 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

    • Method Detail

      • create

        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 using create(PredictionServiceSettings).

      • getOperationsClient

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

      • getHttpJsonOperationsClient

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

      • predict

        public final PredictResponse predict​(ModelName name,
                                     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 60,000 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. Not available for FORECASTING

        [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

        • Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

        Sample code: 

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

        • For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • predict

        public final PredictResponse predict​(String name,
                                     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 60,000 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. Not available for FORECASTING

        [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

        • Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

        Sample code: 

        
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   ExamplePayload payload = ExamplePayload.newBuilder().build();
   Map<String, String> params = new HashMap<>();
   PredictResponse response = predictionServiceClient.predict(name, payload, params);
 }
        Parameters:
        name - Required. 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.

        • For Tables: feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • predict

        public final PredictResponse predict​(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 60,000 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. Not available for FORECASTING

        [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

        • Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

        Sample code: 

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

      • predictCallable

        public final com.google.api.gax.rpc.UnaryCallable<PredictRequest,​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 60,000 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. Not available for FORECASTING

        [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

        • Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

        Sample code: 

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

      • batchPredictAsync

        public final com.google.api.gax.longrunning.OperationFuture<BatchPredictResult,​OperationMetadata> batchPredictAsync​(ModelName name,
                                                                                                                          BatchPredictInputConfig inputConfig,
                                                                                                                          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:
        • Image Classification
        • Image Object Detection
        • Video Classification
        • Video Object Tracking * Text Extraction
        • Tables

        Sample code: 

        
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 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 - Required. 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 - Required. Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
        • For Text Classification:

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

        • 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 produced per image. Default is 100, the requested value may be limited by server.

        • 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".

        • For Tables:

        feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotations. The default is false.

        • For Video Object Tracking:

        `score_threshold` - (float) When Model detects objects on video frames, 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 per frame. Default is 100, the requested value may be limited by server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size will be returned. Value in 0 to 1 range. Default is 0.

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

      • batchPredictAsync

        public final com.google.api.gax.longrunning.OperationFuture<BatchPredictResult,​OperationMetadata> batchPredictAsync​(String name,
                                                                                                                          BatchPredictInputConfig inputConfig,
                                                                                                                          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:
        • Image Classification
        • Image Object Detection
        • Video Classification
        • Video Object Tracking * Text Extraction
        • Tables

        Sample code: 

        
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
   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 - Required. 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 - Required. Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
        • For Text Classification:

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

        • 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 produced per image. Default is 100, the requested value may be limited by server.

        • 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".

        • For Tables:

        feature_imp<span>ortan</span>ce - (boolean) Whether feature importance should be populated in the returned TablesAnnotations. The default is false.

        • For Video Object Tracking:

        `score_threshold` - (float) When Model detects objects on video frames, 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 per frame. Default is 100, the requested value may be limited by server. `min_bounding_box_size` - (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size will be returned. Value in 0 to 1 range. Default is 0.

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

      • batchPredictAsync

        public final com.google.api.gax.longrunning.OperationFuture<BatchPredictResult,​OperationMetadata> batchPredictAsync​(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:
        • Image Classification
        • Image Object Detection
        • Video Classification
        • Video Object Tracking * Text Extraction
        • Tables

        Sample code: 

        
 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
   BatchPredictRequest request =
       BatchPredictRequest.newBuilder()
           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
           .setInputConfig(BatchPredictInputConfig.newBuilder().build())
           .setOutputConfig(BatchPredictOutputConfig.newBuilder().build())
           .putAllParams(new HashMap<String, String>())
           .build();
   BatchPredictResult response = predictionServiceClient.batchPredictAsync(request).get();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchPredictOperationCallable

        public final com.google.api.gax.rpc.OperationCallable<BatchPredictRequest,​BatchPredictResult,​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:
        • Image Classification
        • Image Object Detection
        • Video Classification
        • Video Object Tracking * Text Extraction
        • Tables

        Sample code: 

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

      • batchPredictCallable

        public final com.google.api.gax.rpc.UnaryCallable<BatchPredictRequest,​com.google.longrunning.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:
        • Image Classification
        • Image Object Detection
        • Video Classification
        • Video Object Tracking * Text Extraction
        • Tables

        Sample code: 

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

      • shutdown

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

      • isShutdown

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

      • isTerminated

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

      • shutdownNow

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