software.amazon.awssdk.services.sagemaker.model

Interface ContainerDefinition.Builder

All Superinterfaces:

CopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>, SdkBuilder<ContainerDefinition.Builder,ContainerDefinition>

Enclosing class:

ContainerDefinition

public static interface ContainerDefinition.Builder
extends CopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>

Method Summary

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.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

containerHostname

ContainerDefinition.Builder containerHostname(String containerHostname)

The DNS host name for the container after Amazon SageMaker deploys it.

Parameters:

containerHostname - The DNS host name for the container after Amazon SageMaker deploys it.

Returns:

Returns a reference to this object so that method calls can be chained together.

image

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. For more information, see Using Your Own Algorithms with Amazon SageMaker

Parameters:

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. For more information, see Using Your Own Algorithms with Amazon SageMaker

Returns:

Returns a reference to this object so that method calls can be chained together.

modelDataUrl

ContainerDefinition.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).

Parameters:

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).

Returns:

Returns a reference to this object so that method calls can be chained together.

environment

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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.