Uses of Class
com.amazonaws.services.sagemaker.model.MonitoringClusterConfig

Packages that use MonitoringClusterConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of MonitoringClusterConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return MonitoringClusterConfig

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 Key Management Service (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.

Methods in com.amazonaws.services.sagemaker.model with parameters of type MonitoringClusterConfig

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.