Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

networkConfig

var networkConfig: NetworkConfig?

Specifies networking options for an monitoring job.

roleArn

var roleArn: String?

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

stoppingCondition

var stoppingCondition: MonitoringStoppingCondition?

Specifies a time limit for how long the monitoring job is allowed to run.

Functions

baselineConfig

fun baselineConfig(block: MonitoringBaselineConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.MonitoringBaselineConfig inside the given block

monitoringAppSpecification

fun monitoringAppSpecification(block: MonitoringAppSpecification.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.MonitoringAppSpecification inside the given block

monitoringOutputConfig

fun monitoringOutputConfig(block: MonitoringOutputConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.MonitoringOutputConfig inside the given block

monitoringResources

fun monitoringResources(block: MonitoringResources.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.MonitoringResources inside the given block

networkConfig

fun networkConfig(block: NetworkConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.NetworkConfig inside the given block

stoppingCondition

fun stoppingCondition(block: MonitoringStoppingCondition.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.MonitoringStoppingCondition inside the given block