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

CreateStudioLifecycleConfigRequest

class CreateStudioLifecycleConfigRequest

Types

object Companion

Properties

studioLifecycleConfigAppType

val studioLifecycleConfigAppType: StudioLifecycleConfigAppType?

The App type that the Lifecycle Configuration is attached to.

studioLifecycleConfigContent

val studioLifecycleConfigContent: String?

The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.

studioLifecycleConfigName

val studioLifecycleConfigName: String?

The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.

val tags: List<Tag>?

Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

Functions

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

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

open override fun hashCode(): Int

open override fun toString(): String