Uses of Class
software.amazon.awssdk.services.sagemakerruntime.model.ServiceUnavailableException

Packages that use ServiceUnavailableException

Package	Description
software.amazon.awssdk.services.sagemakerruntime	The Amazon SageMaker AI runtime API.

Uses of ServiceUnavailableException in software.amazon.awssdk.services.sagemakerruntime

Methods in software.amazon.awssdk.services.sagemakerruntime that throw ServiceUnavailableException

Modifier and Type	Method	Description
default InvokeEndpointResponse	SageMakerRuntimeClient.invokeEndpoint(Consumer<InvokeEndpointRequest.Builder> invokeEndpointRequest)	After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.
default InvokeEndpointResponse	SageMakerRuntimeClient.invokeEndpoint(InvokeEndpointRequest invokeEndpointRequest)	After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.
default InvokeEndpointAsyncResponse	SageMakerRuntimeClient.invokeEndpointAsync(Consumer<InvokeEndpointAsyncRequest.Builder> invokeEndpointAsyncRequest)	After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.
default InvokeEndpointAsyncResponse	SageMakerRuntimeClient.invokeEndpointAsync(InvokeEndpointAsyncRequest invokeEndpointAsyncRequest)	After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.