| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
MonitoringClusterConfig |
MonitoringClusterConfig.clone() |
MonitoringClusterConfig |
MonitoringResources.getClusterConfig()
The configuration for the cluster resources used to run the processing job.
|
MonitoringClusterConfig |
MonitoringClusterConfig.withInstanceCount(Integer instanceCount)
The number of ML compute instances to use in the model monitoring job.
|
MonitoringClusterConfig |
MonitoringClusterConfig.withInstanceType(ProcessingInstanceType instanceType)
The ML compute instance type for the processing job.
|
MonitoringClusterConfig |
MonitoringClusterConfig.withInstanceType(String instanceType)
The ML compute instance type for the processing job.
|
MonitoringClusterConfig |
MonitoringClusterConfig.withVolumeKmsKeyId(String volumeKmsKeyId)
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
|
MonitoringClusterConfig |
MonitoringClusterConfig.withVolumeSizeInGB(Integer volumeSizeInGB)
The size of the ML storage volume, in gigabytes, that you want to provision.
|
| Modifier and Type | Method and Description |
|---|---|
void |
MonitoringResources.setClusterConfig(MonitoringClusterConfig clusterConfig)
The configuration for the cluster resources used to run the processing job.
|
MonitoringResources |
MonitoringResources.withClusterConfig(MonitoringClusterConfig clusterConfig)
The configuration for the cluster resources used to run the processing job.
|
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