public static interface ContainerDefinition.Builder extends SdkPojo, CopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>
Modifier and Type | Method and Description |
---|---|
ContainerDefinition.Builder |
containerHostname(String containerHostname)
The DNS host name for the container after Amazon SageMaker deploys it.
|
ContainerDefinition.Builder |
environment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
ContainerDefinition.Builder |
image(String image)
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
|
ContainerDefinition.Builder |
modelDataUrl(String modelDataUrl)
The S3 path where the model artifacts, which result from model training, are stored.
|
ContainerDefinition.Builder |
modelPackageName(String modelPackageName)
The name of the model package in this container.
|
copy
applyMutation, build
ContainerDefinition.Builder containerHostname(String containerHostname)
The DNS host name for the container after Amazon SageMaker deploys it.
containerHostname
- The DNS host name for the container after Amazon SageMaker deploys it.ContainerDefinition.Builder image(String image)
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored. If you are using your own
custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon
SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag]
and
registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with
Amazon SageMaker
image
- The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored. If you are using
your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code
must meet Amazon SageMaker requirements. Amazon SageMaker supports both
registry/repository[:tag]
and registry/repository[@digest]
image path
formats. For more information, see Using Your Own Algorithms
with Amazon SageMakerContainerDefinition.Builder modelDataUrl(String modelDataUrl)
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
If you provide a value for this parameter, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
modelDataUrl
- The S3 path where the model artifacts, which result from model training, are stored. This path must
point to a single gzip compressed tar archive (.tar.gz suffix).
If you provide a value for this parameter, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
ContainerDefinition.Builder environment(Map<String,String> environment)
The environment variables to set in the Docker container. Each key and value in the Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.
environment
- The environment variables to set in the Docker container. Each key and value in the
Environment
string to string map can have length of up to 1024. We support up to 16
entries in the map.ContainerDefinition.Builder modelPackageName(String modelPackageName)
The name of the model package in this container.
modelPackageName
- The name of the model package in this container.Copyright © 2017 Amazon Web Services, Inc. All Rights Reserved.