| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
ContainerDefinition |
ContainerDefinition.addEnvironmentEntry(String key,
String value) |
ContainerDefinition |
ContainerDefinition.clearEnvironmentEntries()
Removes all the entries added into Environment.
|
ContainerDefinition |
ContainerDefinition.clone() |
ContainerDefinition |
DescribeModelResult.getPrimaryContainer()
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
|
ContainerDefinition |
CreateModelRequest.getPrimaryContainer()
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed into production.
|
ContainerDefinition |
ContainerDefinition.withContainerHostname(String containerHostname)
The DNS host name for the container after Amazon SageMaker deploys it.
|
ContainerDefinition |
ContainerDefinition.withEnvironment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
ContainerDefinition |
ContainerDefinition.withImage(String image)
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
|
ContainerDefinition |
ContainerDefinition.withModelDataUrl(String modelDataUrl)
The S3 path where the model artifacts, which result from model training, are stored.
|
| Modifier and Type | Method and Description |
|---|---|
void |
DescribeModelResult.setPrimaryContainer(ContainerDefinition primaryContainer)
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
|
void |
CreateModelRequest.setPrimaryContainer(ContainerDefinition primaryContainer)
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed into production.
|
DescribeModelResult |
DescribeModelResult.withPrimaryContainer(ContainerDefinition primaryContainer)
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
|
CreateModelRequest |
CreateModelRequest.withPrimaryContainer(ContainerDefinition primaryContainer)
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed into production.
|
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