AWSSageMakerRuntime

The service configuration used to instantiate this service client.

Returns the singleton service client. If the singleton object does not exist, the SDK instantiates the default service client with defaultServiceConfiguration from [AWSServiceManager defaultServiceManager]. The reference to this object is maintained by the SDK, and you do not need to retain it manually.

For example, set the default service configuration in - application:didFinishLaunchingWithOptions:

Swift

func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {
   let credentialProvider = AWSCognitoCredentialsProvider(regionType: .USEast1, identityPoolId: "YourIdentityPoolId")
   let configuration = AWSServiceConfiguration(region: .USEast1, credentialsProvider: credentialProvider)
   AWSServiceManager.default().defaultServiceConfiguration = configuration

   return true

}

Objective-C

- (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions {
     AWSCognitoCredentialsProvider *credentialsProvider = [[AWSCognitoCredentialsProvider alloc] initWithRegionType:AWSRegionUSEast1
                                                                                                     identityPoolId:@"YourIdentityPoolId"];
     AWSServiceConfiguration *configuration = [[AWSServiceConfiguration alloc] initWithRegion:AWSRegionUSEast1
                                                                          credentialsProvider:credentialsProvider];
     [AWSServiceManager defaultServiceManager].defaultServiceConfiguration = configuration;

     return YES;
 }

Then call the following to get the default service client:

Swift

let SageMakerRuntime = AWSSageMakerRuntime.default()

Objective-C

AWSSageMakerRuntime *SageMakerRuntime = [AWSSageMakerRuntime defaultSageMakerRuntime];

Creates a service client with the given service configuration and registers it for the key.

For example, set the default service configuration in - application:didFinishLaunchingWithOptions:

Swift

func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {
   let credentialProvider = AWSCognitoCredentialsProvider(regionType: .USEast1, identityPoolId: "YourIdentityPoolId")
   let configuration = AWSServiceConfiguration(region: .USWest2, credentialsProvider: credentialProvider)
   AWSSageMakerRuntime.register(with: configuration!, forKey: "USWest2SageMakerRuntime")

   return true

}

Objective-C

- (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions {
    AWSCognitoCredentialsProvider *credentialsProvider = [[AWSCognitoCredentialsProvider alloc] initWithRegionType:AWSRegionUSEast1
                                                                                                    identityPoolId:@"YourIdentityPoolId"];
    AWSServiceConfiguration *configuration = [[AWSServiceConfiguration alloc] initWithRegion:AWSRegionUSWest2
                                                                         credentialsProvider:credentialsProvider];

    [AWSSageMakerRuntime registerSageMakerRuntimeWithConfiguration:configuration forKey:@"USWest2SageMakerRuntime"];

    return YES;
}

Then call the following to get the service client:

Swift

let SageMakerRuntime = AWSSageMakerRuntime(forKey: "USWest2SageMakerRuntime")

Objective-C

AWSSageMakerRuntime *SageMakerRuntime = [AWSSageMakerRuntime SageMakerRuntimeForKey:@"USWest2SageMakerRuntime"];

Retrieves the service client associated with the key. You need to call + registerSageMakerRuntimeWithConfiguration:forKey: before invoking this method.

For example, set the default service configuration in - application:didFinishLaunchingWithOptions:

Swift

func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {
   let credentialProvider = AWSCognitoCredentialsProvider(regionType: .USEast1, identityPoolId: "YourIdentityPoolId")
   let configuration = AWSServiceConfiguration(region: .USWest2, credentialsProvider: credentialProvider)
   AWSSageMakerRuntime.register(with: configuration!, forKey: "USWest2SageMakerRuntime")

   return true

}

Objective-C

- (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions {
    AWSCognitoCredentialsProvider *credentialsProvider = [[AWSCognitoCredentialsProvider alloc] initWithRegionType:AWSRegionUSEast1
                                                                                                    identityPoolId:@"YourIdentityPoolId"];
    AWSServiceConfiguration *configuration = [[AWSServiceConfiguration alloc] initWithRegion:AWSRegionUSWest2
                                                                         credentialsProvider:credentialsProvider];

    [AWSSageMakerRuntime registerSageMakerRuntimeWithConfiguration:configuration forKey:@"USWest2SageMakerRuntime"];

    return YES;
}

Then call the following to get the service client:

Swift

let SageMakerRuntime = AWSSageMakerRuntime(forKey: "USWest2SageMakerRuntime")

Objective-C

AWSSageMakerRuntime *SageMakerRuntime = [AWSSageMakerRuntime SageMakerRuntimeForKey:@"USWest2SageMakerRuntime"];

Removes the service client associated with the key and release it.

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.

For an overview of Amazon SageMaker, see How It Works.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpoint are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

A customer’s model containers must respond to requests within 60 seconds. The model itself can have a maximum processing time of 60 seconds before responding to invocations. If your model is going to take 50-60 seconds of processing time, the SDK socket timeout should be set to be 70 seconds.

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.

For an overview of Amazon SageMaker, see How It Works.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpoint are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

A customer’s model containers must respond to requests within 60 seconds. The model itself can have a maximum processing time of 60 seconds before responding to invocations. If your model is going to take 50-60 seconds of processing time, the SDK socket timeout should be set to be 70 seconds.

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.

Inference requests sent to this API are enqueued for asynchronous processing. The processing of the inference request may or may not complete before you receive a response from this API. The response from this API will not contain the result of the inference request but contain information about where you can locate it.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpointAsync are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.

Inference requests sent to this API are enqueued for asynchronous processing. The processing of the inference request may or may not complete before you receive a response from this API. The response from this API will not contain the result of the inference request but contain information about where you can locate it.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpointAsync are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.