| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker |
Definition of the public APIs exposed by SageMaker
|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
Future<CreateModelResult> |
AmazonSageMakerAsync.createModelAsync(CreateModelRequest createModelRequest,
AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
Creates a model in Amazon SageMaker.
|
Future<CreateModelResult> |
AbstractAmazonSageMakerAsync.createModelAsync(CreateModelRequest request,
AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler) |
Future<CreateModelResult> |
AmazonSageMakerAsyncClient.createModelAsync(CreateModelRequest request,
AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler) |
| Modifier and Type | Method and Description |
|---|---|
CreateModelRequest |
CreateModelRequest.clone() |
CreateModelRequest |
CreateModelRequest.withExecutionRoleArn(String executionRoleArn)
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and
docker image for deployment on ML compute instances or for batch transform jobs.
|
CreateModelRequest |
CreateModelRequest.withModelName(String modelName)
The name of the new model.
|
CreateModelRequest |
CreateModelRequest.withPrimaryContainer(ContainerDefinition primaryContainer)
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
|
CreateModelRequest |
CreateModelRequest.withTags(Collection<Tag> tags)
An array of key-value pairs.
|
CreateModelRequest |
CreateModelRequest.withTags(Tag... tags)
An array of key-value pairs.
|
CreateModelRequest |
CreateModelRequest.withVpcConfig(VpcConfig vpcConfig)
A VpcConfig object that specifies the VPC that you want your model to connect to.
|
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