Uses of Class
software.amazon.awssdk.services.sagemakerruntime.model.ServiceUnavailableException
Packages that use ServiceUnavailableException
Package
Description
The Amazon SageMaker AI runtime API.
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Uses of ServiceUnavailableException in software.amazon.awssdk.services.sagemakerruntime
Methods in software.amazon.awssdk.services.sagemakerruntime that throw ServiceUnavailableExceptionModifier and TypeMethodDescriptiondefault InvokeEndpointResponseSageMakerRuntimeClient.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 InvokeEndpointResponseSageMakerRuntimeClient.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 InvokeEndpointAsyncResponseSageMakerRuntimeClient.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 InvokeEndpointAsyncResponseSageMakerRuntimeClient.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.