| Package | Description |
|---|---|
| com.amazonaws.services.sagemakerruntime |
The Amazon SageMaker runtime API.
|
| com.amazonaws.services.sagemakerruntime.model |
| Modifier and Type | Method and Description |
|---|---|
InvokeEndpointResult |
AmazonSageMakerRuntimeClient.invokeEndpoint(InvokeEndpointRequest request)
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.
|
InvokeEndpointResult |
AmazonSageMakerRuntime.invokeEndpoint(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.
|
InvokeEndpointResult |
AbstractAmazonSageMakerRuntime.invokeEndpoint(InvokeEndpointRequest request) |
Future<InvokeEndpointResult> |
AmazonSageMakerRuntimeAsyncClient.invokeEndpointAsync(InvokeEndpointRequest request) |
Future<InvokeEndpointResult> |
AbstractAmazonSageMakerRuntimeAsync.invokeEndpointAsync(InvokeEndpointRequest request) |
Future<InvokeEndpointResult> |
AmazonSageMakerRuntimeAsync.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> |
AmazonSageMakerRuntimeAsyncClient.invokeEndpointAsync(InvokeEndpointRequest request,
AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler) |
Future<InvokeEndpointResult> |
AbstractAmazonSageMakerRuntimeAsync.invokeEndpointAsync(InvokeEndpointRequest request,
AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler) |
Future<InvokeEndpointResult> |
AmazonSageMakerRuntimeAsync.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.
|
| Modifier and Type | Method and Description |
|---|---|
Future<InvokeEndpointResult> |
AmazonSageMakerRuntimeAsyncClient.invokeEndpointAsync(InvokeEndpointRequest request,
AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler) |
Future<InvokeEndpointResult> |
AbstractAmazonSageMakerRuntimeAsync.invokeEndpointAsync(InvokeEndpointRequest request,
AsyncHandler<InvokeEndpointRequest,InvokeEndpointResult> asyncHandler) |
Future<InvokeEndpointResult> |
AmazonSageMakerRuntimeAsync.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.
|
| Modifier and Type | Method and Description |
|---|---|
InvokeEndpointRequest |
InvokeEndpointRequest.clone() |
InvokeEndpointRequest |
InvokeEndpointRequest.withAccept(String accept)
The desired MIME type of the inference in the response.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withBody(ByteBuffer body)
Provides input data, in the format specified in the
ContentType request header. |
InvokeEndpointRequest |
InvokeEndpointRequest.withContentType(String contentType)
The MIME type of the input data in the request body.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withCustomAttributes(String customAttributes)
Provides additional information about a request for an inference submitted to a model hosted at an Amazon
SageMaker endpoint.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withEndpointName(String endpointName)
The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withInferenceId(String inferenceId)
If you provide a value, it is added to the captured data when you enable data capture on the endpoint.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withTargetContainerHostname(String targetContainerHostname)
If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies
the host name of the container to invoke.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withTargetModel(String targetModel)
The model to request for inference when invoking a multi-model endpoint.
|
InvokeEndpointRequest |
InvokeEndpointRequest.withTargetVariant(String targetVariant)
Specify the production variant to send the inference request to when invoking an endpoint that is running two or
more variants.
|
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