| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.addEnvironmentEntry(String key,
String value)
Add a single Environment entry
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.clearEnvironmentEntries()
Removes all the entries added into Environment.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.clone() |
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withContainerHostname(String containerHostname)
The DNS host name for the Docker container.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withEnvironment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withFramework(String framework)
The machine learning framework of the model package container image.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withFrameworkVersion(String frameworkVersion)
The framework version of the Model Package Container Image.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withImage(String image)
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withImageDigest(String imageDigest)
An MD5 hash of the training algorithm that identifies the Docker image used for training.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withModelDataUrl(String modelDataUrl)
The Amazon S3 path where the model artifacts, which result from model training, are stored.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withModelInput(ModelInput modelInput)
A structure with Model Input details.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withNearestModelName(String nearestModelName)
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model.
|
ModelPackageContainerDefinition |
ModelPackageContainerDefinition.withProductId(String productId)
The Amazon Web Services Marketplace product ID of the model package.
|
| Modifier and Type | Method and Description |
|---|---|
List<ModelPackageContainerDefinition> |
AdditionalInferenceSpecificationDefinition.getContainers()
The Amazon ECR registry path of the Docker image that contains the inference code.
|
List<ModelPackageContainerDefinition> |
InferenceSpecification.getContainers()
The Amazon ECR registry path of the Docker image that contains the inference code.
|
| Modifier and Type | Method and Description |
|---|---|
AdditionalInferenceSpecificationDefinition |
AdditionalInferenceSpecificationDefinition.withContainers(ModelPackageContainerDefinition... containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
InferenceSpecification |
InferenceSpecification.withContainers(ModelPackageContainerDefinition... containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
| Modifier and Type | Method and Description |
|---|---|
void |
AdditionalInferenceSpecificationDefinition.setContainers(Collection<ModelPackageContainerDefinition> containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
void |
InferenceSpecification.setContainers(Collection<ModelPackageContainerDefinition> containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
AdditionalInferenceSpecificationDefinition |
AdditionalInferenceSpecificationDefinition.withContainers(Collection<ModelPackageContainerDefinition> containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
InferenceSpecification |
InferenceSpecification.withContainers(Collection<ModelPackageContainerDefinition> containers)
The Amazon ECR registry path of the Docker image that contains the inference code.
|
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