@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.
|
Map<String,String> |
environment()
The environment variables to set in the Docker container.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
String |
framework()
The machine learning framework of the model package container image.
|
String |
frameworkVersion()
The framework version of the Model Package Container Image.
|
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
boolean |
hasEnvironment()
For responses, this returns true if the service returned a value for the Environment property.
|
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.
|
ModelInput |
modelInput()
A structure with Model Input details.
|
String |
nearestModelName()
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model.
|
String |
productId()
The Amazon Web Services 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 SageMaker, the inference code must
meet SageMaker requirements. 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 SageMaker, the inference
code must meet SageMaker requirements. 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 Amazon Web Services Marketplace product ID of the model package.
public final boolean hasEnvironment()
isEmpty() method on the property).
This is useful because the SDK will never return a null collection or map, but you may need to differentiate
between the service returning nothing (or null) and the service returning an empty collection or map. For
requests, this returns true if a value for the property was specified in the request builder, and false if a
value was not specified.public final 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.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasEnvironment() method.
Environment string to string map can have length of up to 1024. We support up to 16 entries
in the map.public final ModelInput modelInput()
A structure with Model Input details.
public final String framework()
The machine learning framework of the model package container image.
public final String frameworkVersion()
The framework version of the Model Package Container Image.
public final String nearestModelName()
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model. You can find a list of benchmarked models by calling ListModelMetadata.
ListModelMetadata.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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