| 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.
|
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 into production.
|
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 object that specifies the VPC that you want your model to connect to.
|
Copyright © 2018. All rights reserved.