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GitHub Repository | Product Reference |
Service Description: Service for making recommendation prediction.
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()) {
PlacementName name =
PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]");
UserEvent userEvent = UserEvent.newBuilder().build();
for (Map.Entry<String, Value> element :
predictionServiceClient.predict(name, userEvent).iterateAll()) {
// doThingsWith(element);
}
}
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().
Method | Description | Method Variants |
---|---|---|
Predict |
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more. |
Request object method variants only take one parameter, a request object, which must be constructed before the call.
"Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method.
Callable method variants take no parameters and return 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.
Static Methods
create()
public static final PredictionServiceClient create()
Constructs an instance of PredictionServiceClient with default settings.
Returns | |
---|---|
Type | Description |
PredictionServiceClient |
Exceptions | |
---|---|
Type | Description |
IOException |
create(PredictionServiceSettings settings)
public static final PredictionServiceClient create(PredictionServiceSettings settings)
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.
Parameter | |
---|---|
Name | Description |
settings |
PredictionServiceSettings |
Returns | |
---|---|
Type | Description |
PredictionServiceClient |
Exceptions | |
---|---|
Type | Description |
IOException |
create(PredictionServiceStub stub)
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).
Parameter | |
---|---|
Name | Description |
stub |
PredictionServiceStub |
Returns | |
---|---|
Type | Description |
PredictionServiceClient |
Constructors
PredictionServiceClient(PredictionServiceSettings settings)
protected PredictionServiceClient(PredictionServiceSettings settings)
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.
Parameter | |
---|---|
Name | Description |
settings |
PredictionServiceSettings |
PredictionServiceClient(PredictionServiceStub stub)
protected PredictionServiceClient(PredictionServiceStub stub)
Parameter | |
---|---|
Name | Description |
stub |
PredictionServiceStub |
Methods
awaitTermination(long duration, TimeUnit unit)
public boolean awaitTermination(long duration, TimeUnit unit)
Parameters | |
---|---|
Name | Description |
duration |
long |
unit |
TimeUnit |
Returns | |
---|---|
Type | Description |
boolean |
Exceptions | |
---|---|
Type | Description |
InterruptedException |
close()
public final void close()
getSettings()
public final PredictionServiceSettings getSettings()
Returns | |
---|---|
Type | Description |
PredictionServiceSettings |
getStub()
public PredictionServiceStub getStub()
Returns | |
---|---|
Type | Description |
PredictionServiceStub |
isShutdown()
public boolean isShutdown()
Returns | |
---|---|
Type | Description |
boolean |
isTerminated()
public boolean isTerminated()
Returns | |
---|---|
Type | Description |
boolean |
predict(PlacementName name, UserEvent userEvent)
public final PredictionServiceClient.PredictPagedResponse predict(PlacementName name, UserEvent userEvent)
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying 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()) {
PlacementName name =
PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]");
UserEvent userEvent = UserEvent.newBuilder().build();
for (Map.Entry<String, Value> element :
predictionServiceClient.predict(name, userEvent).iterateAll()) {
// doThingsWith(element);
}
}
Parameters | |
---|---|
Name | Description |
name |
PlacementName Required. Full resource name of the format:
We currently support three placements with the following IDs by default:
The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard |
userEvent |
UserEvent Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging. |
Returns | |
---|---|
Type | Description |
PredictionServiceClient.PredictPagedResponse |
predict(PredictRequest request)
public final PredictionServiceClient.PredictPagedResponse predict(PredictRequest request)
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying 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(
PlacementName.of(
"[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
.toString())
.setUserEvent(UserEvent.newBuilder().build())
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setFilter("filter-1274492040")
.setDryRun(true)
.putAllParams(new HashMap<String, Value>())
.putAllLabels(new HashMap<String, String>())
.build();
for (Map.Entry<String, Value> element :
predictionServiceClient.predict(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request |
PredictRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
PredictionServiceClient.PredictPagedResponse |
predict(String name, UserEvent userEvent)
public final PredictionServiceClient.PredictPagedResponse predict(String name, UserEvent userEvent)
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying 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 =
PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
.toString();
UserEvent userEvent = UserEvent.newBuilder().build();
for (Map.Entry<String, Value> element :
predictionServiceClient.predict(name, userEvent).iterateAll()) {
// doThingsWith(element);
}
}
Parameters | |
---|---|
Name | Description |
name |
String Required. Full resource name of the format:
We currently support three placements with the following IDs by default:
The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard |
userEvent |
UserEvent Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging. |
Returns | |
---|---|
Type | Description |
PredictionServiceClient.PredictPagedResponse |
predictCallable()
public final UnaryCallable<PredictRequest,PredictResponse> predictCallable()
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying 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(
PlacementName.of(
"[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
.toString())
.setUserEvent(UserEvent.newBuilder().build())
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setFilter("filter-1274492040")
.setDryRun(true)
.putAllParams(new HashMap<String, Value>())
.putAllLabels(new HashMap<String, String>())
.build();
while (true) {
PredictResponse response = predictionServiceClient.predictCallable().call(request);
for (Map.Entry<String, Value> element : response.getMetadataList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<PredictRequest,PredictResponse> |
predictPagedCallable()
public final UnaryCallable<PredictRequest,PredictionServiceClient.PredictPagedResponse> predictPagedCallable()
Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the PredictionApiKeyRegistry service. Learn more.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying 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(
PlacementName.of(
"[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
.toString())
.setUserEvent(UserEvent.newBuilder().build())
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setFilter("filter-1274492040")
.setDryRun(true)
.putAllParams(new HashMap<String, Value>())
.putAllLabels(new HashMap<String, String>())
.build();
ApiFuture<Map.Entry<String, Value>> future =
predictionServiceClient.predictPagedCallable().futureCall(request);
// Do something.
for (Map.Entry<String, Value> element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<PredictRequest,PredictPagedResponse> |
shutdown()
public void shutdown()
shutdownNow()
public void shutdownNow()