public static interface ContainerDefinition.Builder extends SdkPojo, CopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>
| Modifier and Type | Method and Description |
|---|---|
ContainerDefinition.Builder |
containerHostname(String containerHostname)
This parameter is ignored for models that contain only a
PrimaryContainer. |
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 |
mode(ContainerMode mode)
Whether the container hosts a single model or multiple models.
|
ContainerDefinition.Builder |
mode(String mode)
Whether the container hosts a single model or multiple models.
|
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 or Amazon Resource Name (ARN) of the model package to use to create the model.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildContainerDefinition.Builder containerHostname(String containerHostname)
This parameter is ignored for models that contain only a PrimaryContainer.
When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely
identifies the container for the purposes of logging and metrics. For information, see Use Logs and
Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a
ContainerDefinition that is part of an inference pipeline, a unique name is automatically
assigned based on the position of the ContainerDefinition in the pipeline. If you specify a
value for the ContainerHostName for any ContainerDefinition that is part of an
inference pipeline, you must specify a value for the ContainerHostName parameter of every
ContainerDefinition in that pipeline.
containerHostname - This parameter is ignored for models that contain only a PrimaryContainer.
When a ContainerDefinition is part of an inference pipeline, the value of the parameter
uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs
and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for
a ContainerDefinition that is part of an inference pipeline, a unique name is
automatically assigned based on the position of the ContainerDefinition in the pipeline.
If you specify a value for the ContainerHostName for any ContainerDefinition
that is part of an inference pipeline, you must specify a value for the ContainerHostName
parameter of every ContainerDefinition in that pipeline.
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 mode(String mode)
Whether the container hosts a single model or multiple models.
mode - Whether the container hosts a single model or multiple models.ContainerMode,
ContainerModeContainerDefinition.Builder mode(ContainerMode mode)
Whether the container hosts a single model or multiple models.
mode - Whether the container hosts a single model or multiple models.ContainerMode,
ContainerModeContainerDefinition.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). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
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 in an AWS Region in the AWS Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to
the model artifacts in ModelDataUrl.
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). The S3 path is required for Amazon
SageMaker built-in algorithms, but not if you use your own algorithms. For more information on
built-in algorithms, see Common Parameters.
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 in an AWS Region in the AWS Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3
path to the model artifacts in ModelDataUrl.
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 or Amazon Resource Name (ARN) of the model package to use to create the model.
modelPackageName - The name or Amazon Resource Name (ARN) of the model package to use to create the model.Copyright © 2020. All rights reserved.