| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
ProcessingResources |
ProcessingResources.clone() |
ProcessingResources |
CreateProcessingJobRequest.getProcessingResources()
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
ProcessingResources |
DescribeProcessingJobResult.getProcessingResources()
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
ProcessingResources |
ProcessingJob.getProcessingResources() |
ProcessingResources |
ProcessingResources.withClusterConfig(ProcessingClusterConfig clusterConfig)
The configuration for the resources in a cluster used to run the processing job.
|
| Modifier and Type | Method and Description |
|---|---|
void |
CreateProcessingJobRequest.setProcessingResources(ProcessingResources processingResources)
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
void |
DescribeProcessingJobResult.setProcessingResources(ProcessingResources processingResources)
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
void |
ProcessingJob.setProcessingResources(ProcessingResources processingResources) |
CreateProcessingJobRequest |
CreateProcessingJobRequest.withProcessingResources(ProcessingResources processingResources)
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
DescribeProcessingJobResult |
DescribeProcessingJobResult.withProcessingResources(ProcessingResources processingResources)
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
ProcessingJob |
ProcessingJob.withProcessingResources(ProcessingResources processingResources) |
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