@Generated(value="software.amazon.awssdk:codegen") public final class ContainerDefinition extends Object implements SdkPojo, Serializable, ToCopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>
Describes the container, as part of model definition.
Modifier and Type | Class and Description |
---|---|
static interface |
ContainerDefinition.Builder |
Modifier and Type | Method and Description |
---|---|
static ContainerDefinition.Builder |
builder() |
String |
containerHostname()
The DNS host name for the container after Amazon SageMaker deploys it.
|
Map<String,String> |
environment()
The environment variables to set in the Docker container.
|
boolean |
equals(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
String |
image()
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
|
String |
modelDataUrl()
The S3 path where the model artifacts, which result from model training, are stored.
|
String |
modelPackageName()
The name of the model package in this container.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends ContainerDefinition.Builder> |
serializableBuilderClass() |
ContainerDefinition.Builder |
toBuilder()
Take this object and create a builder that contains all of the current property values of this object.
|
String |
toString() |
copy
public String containerHostname()
The DNS host name for the container after Amazon SageMaker deploys it.
public 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
registry/repository[:tag]
and
registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with
Amazon SageMakerpublic 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.
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.
public 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.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
Environment
string to string map can have length of up to 1024. We support up to 16 entries
in the map.public String modelPackageName()
The name of the model package in this container.
public ContainerDefinition.Builder toBuilder()
ToCopyableBuilder
toBuilder
in interface ToCopyableBuilder<ContainerDefinition.Builder,ContainerDefinition>
public static ContainerDefinition.Builder builder()
public static Class<? extends ContainerDefinition.Builder> serializableBuilderClass()
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