| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.addEnvironmentEntry(String key,
String value)
Add a single Environment entry
|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.clearEnvironmentEntries()
Removes all the entries added into Environment.
|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.clone() |
InferenceComponentContainerSpecification |
InferenceComponentSpecification.getContainer()
Defines a container that provides the runtime environment for a model that you deploy with an inference
component.
|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.withArtifactUrl(String artifactUrl)
The Amazon S3 path where the model artifacts, which result from model training, are stored.
|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.withEnvironment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
InferenceComponentContainerSpecification |
InferenceComponentContainerSpecification.withImage(String image)
The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.
|
| Modifier and Type | Method and Description |
|---|---|
void |
InferenceComponentSpecification.setContainer(InferenceComponentContainerSpecification container)
Defines a container that provides the runtime environment for a model that you deploy with an inference
component.
|
InferenceComponentSpecification |
InferenceComponentSpecification.withContainer(InferenceComponentContainerSpecification container)
Defines a container that provides the runtime environment for a model that you deploy with an inference
component.
|
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