Package | Description |
---|---|
com.amazonaws.services.machinelearning | |
com.amazonaws.services.machinelearning.model |
Modifier and Type | Method and Description |
---|---|
CreateRealtimeEndpointResult |
AmazonMachineLearning.createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
Creates a real-time endpoint for the
MLModel . |
CreateRealtimeEndpointResult |
AmazonMachineLearningClient.createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
Creates a real-time endpoint for the
MLModel . |
CreateRealtimeEndpointResult |
AbstractAmazonMachineLearning.createRealtimeEndpoint(CreateRealtimeEndpointRequest request) |
Modifier and Type | Method and Description |
---|---|
Future<CreateRealtimeEndpointResult> |
AmazonMachineLearningAsyncClient.createRealtimeEndpointAsync(CreateRealtimeEndpointRequest request,
AsyncHandler<CreateRealtimeEndpointRequest,CreateRealtimeEndpointResult> asyncHandler) |
Future<CreateRealtimeEndpointResult> |
AbstractAmazonMachineLearningAsync.createRealtimeEndpointAsync(CreateRealtimeEndpointRequest request,
AsyncHandler<CreateRealtimeEndpointRequest,CreateRealtimeEndpointResult> asyncHandler) |
Future<CreateRealtimeEndpointResult> |
AmazonMachineLearningAsync.createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest,
AsyncHandler<CreateRealtimeEndpointRequest,CreateRealtimeEndpointResult> asyncHandler)
Creates a real-time endpoint for the
MLModel . |
Modifier and Type | Method and Description |
---|---|
CreateRealtimeEndpointResult |
CreateRealtimeEndpointResult.clone() |
CreateRealtimeEndpointResult |
CreateRealtimeEndpointResult.withMLModelId(String mLModelId)
A user-supplied ID that uniquely identifies the
MLModel . |
CreateRealtimeEndpointResult |
CreateRealtimeEndpointResult.withRealtimeEndpointInfo(RealtimeEndpointInfo realtimeEndpointInfo)
The endpoint information of the
MLModel |
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