@Generated(value="software.amazon.awssdk:codegen") public final class ModelPackageContainerDefinition extends Object implements SdkPojo, Serializable, ToCopyableBuilder<ModelPackageContainerDefinition.Builder,ModelPackageContainerDefinition>
Describes the Docker container for the model package.
| Modifier and Type | Class and Description |
|---|---|
static interface |
ModelPackageContainerDefinition.Builder |
| Modifier and Type | Method and Description |
|---|---|
static ModelPackageContainerDefinition.Builder |
builder() |
String |
containerHostname()
The DNS host name for the Docker container.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(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 |
imageDigest()
An MD5 hash of the training algorithm that identifies the Docker image used for training.
|
String |
modelDataUrl()
The Amazon S3 path where the model artifacts, which result from model training, are stored.
|
String |
productId()
The AWS Marketplace product ID of the model package.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends ModelPackageContainerDefinition.Builder> |
serializableBuilderClass() |
ModelPackageContainerDefinition.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String containerHostname()
The DNS host name for the Docker container.
public final 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.
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.
public final String imageDigest()
An MD5 hash of the training algorithm that identifies the Docker image used for training.
public final String modelDataUrl()
The Amazon 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 model artifacts must be in an S3 bucket that is in the same region as the model package.
gzip compressed tar archive (.tar.gz suffix). The model artifacts must be in an S3 bucket that is in the same region as the model package.
public final String productId()
The AWS Marketplace product ID of the model package.
public ModelPackageContainerDefinition.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<ModelPackageContainerDefinition.Builder,ModelPackageContainerDefinition>public static ModelPackageContainerDefinition.Builder builder()
public static Class<? extends ModelPackageContainerDefinition.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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