sagemaker/aws.sdk.kotlin.services.sagemaker.model/MonitoringJobDefinition

MonitoringJobDefinition

class MonitoringJobDefinition

Defines the monitoring job.

Types

object Companion

Properties

val baselineConfig: MonitoringBaselineConfig?

Baseline configuration used to validate that the data conforms to the specified constraints and statistics

val environment: Map<String, String>?

Sets the environment variables in the Docker container.

monitoringAppSpecification

val monitoringAppSpecification: MonitoringAppSpecification?

Configures the monitoring job to run a specified Docker container image.

monitoringInputs

val monitoringInputs: List<MonitoringInput>?

The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.

monitoringOutputConfig

val monitoringOutputConfig: MonitoringOutputConfig?

The array of outputs from the monitoring job to be uploaded to Amazon S3.

monitoringResources

val monitoringResources: MonitoringResources?

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.

val networkConfig: NetworkConfig?

Specifies networking options for an monitoring job.

val roleArn: String?

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

stoppingCondition

val stoppingCondition: MonitoringStoppingCondition?

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

Functions

inline fun copy(block: MonitoringJobDefinition.Builder.() -> Unit = {}): MonitoringJobDefinition

open operator override fun equals(other: Any?): Boolean

open override fun hashCode(): Int

open override fun toString(): String