com.amazonaws.services.sagemakerruntime

Interface AmazonSageMakerRuntimeAsync

All Superinterfaces:

AmazonSageMakerRuntime

All Known Implementing Classes:

AbstractAmazonSageMakerRuntimeAsync, AmazonSageMakerRuntimeAsyncClient

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonSageMakerRuntimeAsync
extends AmazonSageMakerRuntime

Interface for accessing Amazon SageMaker Runtime asynchronously. Each asynchronous method will return a Java Future object representing the asynchronous operation; overloads which accept an AsyncHandler can be used to receive notification when an asynchronous operation completes.

Note: Do not directly implement this interface, new methods are added to it regularly. Extend from AbstractAmazonSageMakerRuntimeAsync instead.

The Amazon SageMaker runtime API.

Field Summary

Fields inherited from interface com.amazonaws.services.sagemakerruntime.AmazonSageMakerRuntime

ENDPOINT_PREFIX

Method Summary

Modifier and Type	Method and Description
Future<InvokeEndpointResult>	invokeEndpointAsync(InvokeEndpointRequest invokeEndpointRequest) 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.
Future<InvokeEndpointResult>	invokeEndpointAsync(InvokeEndpointRequest invokeEndpointRequest, AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler) 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.

Methods inherited from interface com.amazonaws.services.sagemakerruntime.AmazonSageMakerRuntime

getCachedResponseMetadata, invokeEndpoint, shutdown

Method Detail

invokeEndpointAsync

Future<InvokeEndpointResult> invokeEndpointAsync(InvokeEndpointRequest invokeEndpointRequest)

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 AWS Signature Version 4. For information, see Authenticating Requests (AWS 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 the /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.

Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker determines the account ID from the authentication token that is supplied by the caller.

Parameters:

invokeEndpointRequest -

Returns:

A Java Future containing the result of the InvokeEndpoint operation returned by the service.

See Also:

AWS API Documentation

invokeEndpointAsync

Future<InvokeEndpointResult> invokeEndpointAsync(InvokeEndpointRequest invokeEndpointRequest,
                                                 AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler)

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 AWS Signature Version 4. For information, see Authenticating Requests (AWS 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 the /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.

Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker determines the account ID from the authentication token that is supplied by the caller.

Parameters:

invokeEndpointRequest -

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the InvokeEndpoint operation returned by the service.

See Also:

AWS API Documentation