pulumi-aws-native-kotlin/com.pulumi.awsnative.sagemaker.kotlin.outputs

Package-level declarations

Types

data class AppImageConfigCodeEditorAppImageConfig(val containerConfig: AppImageConfigContainerConfig? = null)

The configuration for the kernels in a SageMaker image running as a CodeEditor app.

data class AppImageConfigContainerConfig(val containerArguments: List<String>? = null, val containerEntrypoint: List<String>? = null, val containerEnvironmentVariables: List<AppImageConfigCustomImageContainerEnvironmentVariable>? = null)

The container configuration for a SageMaker image.

AppImageConfigCustomImageContainerEnvironmentVariable

data class AppImageConfigCustomImageContainerEnvironmentVariable(val key: String, val value: String)

AppImageConfigFileSystemConfig

data class AppImageConfigFileSystemConfig(val defaultGid: Int? = null, val defaultUid: Int? = null, val mountPath: String? = null)

The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

AppImageConfigJupyterLabAppImageConfig

data class AppImageConfigJupyterLabAppImageConfig(val containerConfig: AppImageConfigContainerConfig? = null)

The configuration for the kernels in a SageMaker image running as a JupyterLab app.

AppImageConfigKernelGatewayImageConfig

data class AppImageConfigKernelGatewayImageConfig(val fileSystemConfig: AppImageConfigFileSystemConfig? = null, val kernelSpecs: List<AppImageConfigKernelSpec>)

The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.

AppImageConfigKernelSpec

data class AppImageConfigKernelSpec(val displayName: String? = null, val name: String)

AppResourceSpec

data class AppResourceSpec(val instanceType: AppResourceSpecInstanceType? = null, val lifecycleConfigArn: String? = null, val sageMakerImageArn: String? = null, val sageMakerImageVersionArn: String? = null)

ClusterInstanceGroup

data class ClusterInstanceGroup(val currentCount: Int? = null, val executionRole: String, val instanceCount: Int, val instanceGroupName: String, val instanceStorageConfigs: List<ClusterInstanceStorageConfig>? = null, val instanceType: String, val lifeCycleConfig: ClusterLifeCycleConfig, val onStartDeepHealthChecks: List<ClusterDeepHealthCheckType>? = null, val threadsPerCore: Int? = null)

Details of an instance group in a SageMaker HyperPod cluster.

ClusterInstanceStorageConfig

class ClusterInstanceStorageConfig

Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster instance group.

ClusterLifeCycleConfig

data class ClusterLifeCycleConfig(val onCreate: String, val sourceS3Uri: String)

The lifecycle configuration for a SageMaker HyperPod cluster.

ClusterOrchestrator

data class ClusterOrchestrator(val eks: ClusterOrchestratorEksConfig)

Specifies parameter(s) specific to the orchestrator, e.g. specify the EKS cluster.

ClusterOrchestratorEksConfig

data class ClusterOrchestratorEksConfig(val clusterArn: String)

Specifies parameter(s) related to EKS as orchestrator, e.g. the EKS cluster nodes will attach to,

ClusterVpcConfig

data class ClusterVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC.

DataQualityJobDefinitionBatchTransformInput

data class DataQualityJobDefinitionBatchTransformInput(val dataCapturedDestinationS3Uri: String, val datasetFormat: DataQualityJobDefinitionDatasetFormat, val excludeFeaturesAttribute: String? = null, val localPath: String, val s3DataDistributionType: DataQualityJobDefinitionBatchTransformInputS3DataDistributionType? = null, val s3InputMode: DataQualityJobDefinitionBatchTransformInputS3InputMode? = null)

The batch transform input for a monitoring job.

DataQualityJobDefinitionClusterConfig

data class DataQualityJobDefinitionClusterConfig(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null, val volumeSizeInGb: Int)

Configuration for the cluster used to run model monitoring jobs.

DataQualityJobDefinitionConstraintsResource

data class DataQualityJobDefinitionConstraintsResource(val s3Uri: String? = null)

The baseline constraints resource for a monitoring job.

DataQualityJobDefinitionCsv

data class DataQualityJobDefinitionCsv(val header: Boolean? = null)

The CSV format

DataQualityJobDefinitionDataQualityAppSpecification

data class DataQualityJobDefinitionDataQualityAppSpecification(val containerArguments: List<String>? = null, val containerEntrypoint: List<String>? = null, val environment: Any? = null, val imageUri: String, val postAnalyticsProcessorSourceUri: String? = null, val recordPreprocessorSourceUri: String? = null)

Container image configuration object for the monitoring job.

DataQualityJobDefinitionDataQualityBaselineConfig

data class DataQualityJobDefinitionDataQualityBaselineConfig(val baseliningJobName: String? = null, val constraintsResource: DataQualityJobDefinitionConstraintsResource? = null, val statisticsResource: DataQualityJobDefinitionStatisticsResource? = null)

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

DataQualityJobDefinitionDataQualityJobInput

data class DataQualityJobDefinitionDataQualityJobInput(val batchTransformInput: DataQualityJobDefinitionBatchTransformInput? = null, val endpointInput: DataQualityJobDefinitionEndpointInput? = null)

The inputs for a monitoring job.

DataQualityJobDefinitionDatasetFormat

data class DataQualityJobDefinitionDatasetFormat(val csv: DataQualityJobDefinitionCsv? = null, val json: DataQualityJobDefinitionJson? = null, val parquet: Boolean? = null)

The dataset format of the data to monitor

DataQualityJobDefinitionEndpointInput

data class DataQualityJobDefinitionEndpointInput(val endpointName: String, val excludeFeaturesAttribute: String? = null, val localPath: String, val s3DataDistributionType: DataQualityJobDefinitionEndpointInputS3DataDistributionType? = null, val s3InputMode: DataQualityJobDefinitionEndpointInputS3InputMode? = null)

The endpoint for a monitoring job.

DataQualityJobDefinitionJson

data class DataQualityJobDefinitionJson(val line: Boolean? = null)

The Json format

DataQualityJobDefinitionMonitoringOutput

data class DataQualityJobDefinitionMonitoringOutput(val s3Output: DataQualityJobDefinitionS3Output)

The output object for a monitoring job.

DataQualityJobDefinitionMonitoringOutputConfig

data class DataQualityJobDefinitionMonitoringOutputConfig(val kmsKeyId: String? = null, val monitoringOutputs: List<DataQualityJobDefinitionMonitoringOutput>)

The output configuration for monitoring jobs.

DataQualityJobDefinitionMonitoringResources

data class DataQualityJobDefinitionMonitoringResources(val clusterConfig: DataQualityJobDefinitionClusterConfig)

Identifies the resources to deploy for a monitoring job.

DataQualityJobDefinitionNetworkConfig

data class DataQualityJobDefinitionNetworkConfig(val enableInterContainerTrafficEncryption: Boolean? = null, val enableNetworkIsolation: Boolean? = null, val vpcConfig: DataQualityJobDefinitionVpcConfig? = null)

Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

DataQualityJobDefinitionS3Output

data class DataQualityJobDefinitionS3Output(val localPath: String, val s3UploadMode: DataQualityJobDefinitionS3OutputS3UploadMode? = null, val s3Uri: String)

Information about where and how to store the results of a monitoring job.

DataQualityJobDefinitionStatisticsResource

data class DataQualityJobDefinitionStatisticsResource(val s3Uri: String? = null)

The baseline statistics resource for a monitoring job.

DataQualityJobDefinitionStoppingCondition

data class DataQualityJobDefinitionStoppingCondition(val maxRuntimeInSeconds: Int)

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

DataQualityJobDefinitionVpcConfig

data class DataQualityJobDefinitionVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.

Device

data class Device(val description: String? = null, val deviceName: String, val iotThingName: String? = null)

Edge device you want to create

DeviceFleetEdgeOutputConfig

data class DeviceFleetEdgeOutputConfig(val kmsKeyId: String? = null, val s3OutputLocation: String)

DomainAppLifecycleManagement

data class DomainAppLifecycleManagement(val idleSettings: DomainIdleSettings? = null)

DomainCodeEditorAppSettings

data class DomainCodeEditorAppSettings(val appLifecycleManagement: DomainAppLifecycleManagement? = null, val customImages: List<DomainCustomImage>? = null, val defaultResourceSpec: DomainResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The CodeEditor app settings.

DomainCodeRepository

data class DomainCodeRepository(val repositoryUrl: String)

DomainCustomFileSystemConfig

data class DomainCustomFileSystemConfig(val efsFileSystemConfig: DomainEfsFileSystemConfig? = null)

DomainCustomImage

data class DomainCustomImage(val appImageConfigName: String, val imageName: String, val imageVersionNumber: Int? = null)

A custom SageMaker image.

DomainCustomPosixUserConfig

data class DomainCustomPosixUserConfig(val gid: Int, val uid: Int)

DomainDefaultEbsStorageSettings

data class DomainDefaultEbsStorageSettings(val defaultEbsVolumeSizeInGb: Int, val maximumEbsVolumeSizeInGb: Int)

Properties related to the Amazon Elastic Block Store volume. Must be provided if storage type is Amazon EBS and must not be provided if storage type is not Amazon EBS

DomainDefaultSpaceSettings

data class DomainDefaultSpaceSettings(val customFileSystemConfigs: List<DomainCustomFileSystemConfig>? = null, val customPosixUserConfig: DomainCustomPosixUserConfig? = null, val executionRole: String, val jupyterLabAppSettings: DomainJupyterLabAppSettings? = null, val jupyterServerAppSettings: DomainJupyterServerAppSettings? = null, val kernelGatewayAppSettings: DomainKernelGatewayAppSettings? = null, val securityGroups: List<String>? = null, val spaceStorageSettings: DomainDefaultSpaceStorageSettings? = null)

A collection of settings that apply to spaces of Amazon SageMaker Studio. These settings are specified when the Create/Update Domain API is called.

DomainDefaultSpaceStorageSettings

data class DomainDefaultSpaceStorageSettings(val defaultEbsStorageSettings: DomainDefaultEbsStorageSettings? = null)

Default storage settings for a space.

DomainDockerSettings

data class DomainDockerSettings(val enableDockerAccess: DomainDockerSettingsEnableDockerAccess? = null, val vpcOnlyTrustedAccounts: List<String>? = null)

A collection of settings that are required to start docker-proxy server.

DomainEfsFileSystemConfig

data class DomainEfsFileSystemConfig(val fileSystemId: String, val fileSystemPath: String? = null)

DomainIdleSettings

data class DomainIdleSettings(val idleTimeoutInMinutes: Int? = null, val lifecycleManagement: DomainLifecycleManagement? = null, val maxIdleTimeoutInMinutes: Int? = null, val minIdleTimeoutInMinutes: Int? = null)

DomainJupyterLabAppSettings

data class DomainJupyterLabAppSettings(val appLifecycleManagement: DomainAppLifecycleManagement? = null, val codeRepositories: List<DomainCodeRepository>? = null, val customImages: List<DomainCustomImage>? = null, val defaultResourceSpec: DomainResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The JupyterLab app settings.

DomainJupyterServerAppSettings

data class DomainJupyterServerAppSettings(val defaultResourceSpec: DomainResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The JupyterServer app settings.

DomainKernelGatewayAppSettings

data class DomainKernelGatewayAppSettings(val customImages: List<DomainCustomImage>? = null, val defaultResourceSpec: DomainResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The kernel gateway app settings.

DomainResourceSpec

data class DomainResourceSpec(val instanceType: DomainResourceSpecInstanceType? = null, val lifecycleConfigArn: String? = null, val sageMakerImageArn: String? = null, val sageMakerImageVersionArn: String? = null)

DomainRSessionAppSettings

data class DomainRSessionAppSettings(val customImages: List<DomainCustomImage>? = null, val defaultResourceSpec: DomainResourceSpec? = null)

A collection of settings that apply to an RSessionGateway app.

DomainRStudioServerProAppSettings

data class DomainRStudioServerProAppSettings(val accessStatus: DomainRStudioServerProAppSettingsAccessStatus? = null, val userGroup: DomainRStudioServerProAppSettingsUserGroup? = null)

A collection of settings that configure user interaction with the RStudioServerPro app.

DomainRStudioServerProDomainSettings

data class DomainRStudioServerProDomainSettings(val defaultResourceSpec: DomainResourceSpec? = null, val domainExecutionRoleArn: String, val rStudioConnectUrl: String? = null, val rStudioPackageManagerUrl: String? = null)

A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.

DomainSettings

data class DomainSettings(val dockerSettings: DomainDockerSettings? = null, val rStudioServerProDomainSettings: DomainRStudioServerProDomainSettings? = null, val securityGroupIds: List<String>? = null)

A collection of Domain settings.

DomainSharingSettings

data class DomainSharingSettings(val notebookOutputOption: DomainSharingSettingsNotebookOutputOption? = null, val s3KmsKeyId: String? = null, val s3OutputPath: String? = null)

Specifies options when sharing an Amazon SageMaker Studio notebook. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called.

DomainStudioWebPortalSettings

data class DomainStudioWebPortalSettings(val hiddenAppTypes: List<DomainAppType>? = null, val hiddenMlTools: List<DomainMlTools>? = null)

Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

DomainUserSettings

data class DomainUserSettings(val codeEditorAppSettings: DomainCodeEditorAppSettings? = null, val customFileSystemConfigs: List<DomainCustomFileSystemConfig>? = null, val customPosixUserConfig: DomainCustomPosixUserConfig? = null, val defaultLandingUri: String? = null, val executionRole: String, val jupyterLabAppSettings: DomainJupyterLabAppSettings? = null, val jupyterServerAppSettings: DomainJupyterServerAppSettings? = null, val kernelGatewayAppSettings: DomainKernelGatewayAppSettings? = null, val rSessionAppSettings: DomainRSessionAppSettings? = null, val rStudioServerProAppSettings: DomainRStudioServerProAppSettings? = null, val securityGroups: List<String>? = null, val sharingSettings: DomainSharingSettings? = null, val spaceStorageSettings: DomainDefaultSpaceStorageSettings? = null, val studioWebPortal: DomainUserSettingsStudioWebPortal? = null, val studioWebPortalSettings: DomainStudioWebPortalSettings? = null)

A collection of settings that apply to users of Amazon SageMaker Studio. These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.

FeatureGroupDataCatalogConfig

data class FeatureGroupDataCatalogConfig(val catalog: String, val database: String, val tableName: String)

FeatureGroupFeatureDefinition

data class FeatureGroupFeatureDefinition(val featureName: String, val featureType: FeatureGroupFeatureDefinitionFeatureType)

FeatureGroupOnlineStoreSecurityConfig

data class FeatureGroupOnlineStoreSecurityConfig(val kmsKeyId: String? = null)

FeatureGroupS3StorageConfig

data class FeatureGroupS3StorageConfig(val kmsKeyId: String? = null, val s3Uri: String)

FeatureGroupThroughputConfig

data class FeatureGroupThroughputConfig(val provisionedReadCapacityUnits: Int? = null, val provisionedWriteCapacityUnits: Int? = null, val throughputMode: FeatureGroupThroughputMode)

FeatureGroupTtlDuration

data class FeatureGroupTtlDuration(val unit: FeatureGroupUnit? = null, val value: Int? = null)

TTL configuration of the feature group

GetAppImageConfigResult

data class GetAppImageConfigResult(val appImageConfigArn: String? = null, val codeEditorAppImageConfig: AppImageConfigCodeEditorAppImageConfig? = null, val jupyterLabAppImageConfig: AppImageConfigJupyterLabAppImageConfig? = null, val kernelGatewayImageConfig: AppImageConfigKernelGatewayImageConfig? = null)

GetAppResult

data class GetAppResult(val appArn: String? = null)

GetClusterResult

data class GetClusterResult(val clusterArn: String? = null, val clusterStatus: ClusterStatus? = null, val creationTime: String? = null, val failureMessage: String? = null, val instanceGroups: List<ClusterInstanceGroup>? = null, val nodeRecovery: ClusterNodeRecovery? = null, val tags: List<Tag>? = null)

GetDataQualityJobDefinitionResult

data class GetDataQualityJobDefinitionResult(val creationTime: String? = null, val jobDefinitionArn: String? = null)

GetDeviceFleetResult

data class GetDeviceFleetResult(val description: String? = null, val outputConfig: DeviceFleetEdgeOutputConfig? = null, val roleArn: String? = null, val tags: List<Tag>? = null)

GetDomainResult

data class GetDomainResult(val appNetworkAccessType: DomainAppNetworkAccessType? = null, val appSecurityGroupManagement: DomainAppSecurityGroupManagement? = null, val defaultSpaceSettings: DomainDefaultSpaceSettings? = null, val defaultUserSettings: DomainUserSettings? = null, val domainArn: String? = null, val domainId: String? = null, val domainSettings: DomainSettings? = null, val homeEfsFileSystemId: String? = null, val securityGroupIdForDomainBoundary: String? = null, val singleSignOnApplicationArn: String? = null, val singleSignOnManagedApplicationInstanceId: String? = null, val subnetIds: List<String>? = null, val url: String? = null)

GetFeatureGroupResult

data class GetFeatureGroupResult(val creationTime: String? = null, val featureDefinitions: List<FeatureGroupFeatureDefinition>? = null, val featureGroupStatus: String? = null, val onlineStoreConfig: OnlineStoreConfigProperties? = null, val throughputConfig: FeatureGroupThroughputConfig? = null)

GetImageResult

data class GetImageResult(val imageArn: String? = null, val imageDescription: String? = null, val imageDisplayName: String? = null, val imageRoleArn: String? = null, val tags: List<Tag>? = null)

GetImageVersionResult

data class GetImageVersionResult(val containerImage: String? = null, val horovod: Boolean? = null, val imageArn: String? = null, val imageVersionArn: String? = null, val jobType: ImageVersionJobType? = null, val mlFramework: String? = null, val processor: ImageVersionProcessor? = null, val programmingLang: String? = null, val releaseNotes: String? = null, val vendorGuidance: ImageVersionVendorGuidance? = null, val version: Int? = null)

GetInferenceComponentResult

data class GetInferenceComponentResult(val creationTime: String? = null, val endpointArn: String? = null, val endpointName: String? = null, val failureReason: String? = null, val inferenceComponentArn: String? = null, val inferenceComponentName: String? = null, val inferenceComponentStatus: InferenceComponentStatus? = null, val lastModifiedTime: String? = null, val runtimeConfig: InferenceComponentRuntimeConfig? = null, val specification: InferenceComponentSpecification? = null, val tags: List<Tag>? = null, val variantName: String? = null)

GetInferenceExperimentResult

data class GetInferenceExperimentResult(val arn: String? = null, val creationTime: String? = null, val dataStorageConfig: InferenceExperimentDataStorageConfig? = null, val description: String? = null, val desiredState: InferenceExperimentDesiredState? = null, val endpointMetadata: InferenceExperimentEndpointMetadata? = null, val lastModifiedTime: String? = null, val modelVariants: List<InferenceExperimentModelVariantConfig>? = null, val schedule: InferenceExperimentSchedule? = null, val shadowModeConfig: InferenceExperimentShadowModeConfig? = null, val status: InferenceExperimentStatus? = null, val statusReason: String? = null, val tags: List<Tag>? = null)

GetMlflowTrackingServerResult

data class GetMlflowTrackingServerResult(val artifactStoreUri: String? = null, val automaticModelRegistration: Boolean? = null, val mlflowVersion: String? = null, val roleArn: String? = null, val tags: List<Tag>? = null, val trackingServerArn: String? = null, val trackingServerSize: MlflowTrackingServerTrackingServerSize? = null, val weeklyMaintenanceWindowStart: String? = null)

GetModelBiasJobDefinitionResult

data class GetModelBiasJobDefinitionResult(val creationTime: String? = null, val jobDefinitionArn: String? = null)

GetModelCardResult

data class GetModelCardResult(val content: ModelCardContent? = null, val createdBy: ModelCardUserContext? = null, val creationTime: String? = null, val lastModifiedBy: ModelCardUserContext? = null, val lastModifiedTime: String? = null, val modelCardArn: String? = null, val modelCardProcessingStatus: ModelCardProcessingStatus? = null, val modelCardStatus: ModelCardStatus? = null, val modelCardVersion: Int? = null, val tags: List<Tag>? = null)

GetModelExplainabilityJobDefinitionResult

data class GetModelExplainabilityJobDefinitionResult(val creationTime: String? = null, val jobDefinitionArn: String? = null)

GetModelPackageGroupResult

data class GetModelPackageGroupResult(val creationTime: String? = null, val modelPackageGroupArn: String? = null, val modelPackageGroupPolicy: Any? = null, val modelPackageGroupStatus: ModelPackageGroupStatus? = null, val tags: List<Tag>? = null)

GetModelPackageResult

data class GetModelPackageResult(val additionalInferenceSpecifications: List<ModelPackageAdditionalInferenceSpecificationDefinition>? = null, val approvalDescription: String? = null, val certifyForMarketplace: Boolean? = null, val creationTime: String? = null, val customerMetadataProperties: ModelPackageCustomerMetadataProperties? = null, val lastModifiedTime: String? = null, val modelApprovalStatus: ModelPackageModelApprovalStatus? = null, val modelCard: ModelPackageModelCard? = null, val modelPackageArn: String? = null, val modelPackageName: String? = null, val modelPackageStatus: ModelPackageStatus? = null, val modelPackageStatusDetails: ModelPackageStatusDetails? = null, val modelPackageVersion: Int? = null, val skipModelValidation: ModelPackageSkipModelValidation? = null, val sourceUri: String? = null, val tags: List<Tag>? = null)

GetModelQualityJobDefinitionResult

data class GetModelQualityJobDefinitionResult(val creationTime: String? = null, val jobDefinitionArn: String? = null)

GetMonitoringScheduleResult

data class GetMonitoringScheduleResult(val creationTime: String? = null, val endpointName: String? = null, val failureReason: String? = null, val lastModifiedTime: String? = null, val lastMonitoringExecutionSummary: MonitoringScheduleMonitoringExecutionSummary? = null, val monitoringScheduleArn: String? = null, val monitoringScheduleConfig: MonitoringScheduleConfig? = null, val monitoringScheduleStatus: MonitoringScheduleStatus? = null, val tags: List<Tag>? = null)

GetPipelineResult

data class GetPipelineResult(val parallelismConfiguration: ParallelismConfigurationProperties? = null, val pipelineDefinition: Either<PipelineDefinition0Properties, PipelineDefinition1Properties>? = null, val pipelineDescription: String? = null, val pipelineDisplayName: String? = null, val roleArn: String? = null, val tags: List<Tag>? = null)

GetProjectResult

data class GetProjectResult(val creationTime: String? = null, val projectArn: String? = null, val projectId: String? = null, val projectStatus: ProjectStatus? = null, val serviceCatalogProvisionedProductDetails: ServiceCatalogProvisionedProductDetailsProperties? = null)

GetSpaceResult

data class GetSpaceResult(val spaceArn: String? = null, val spaceDisplayName: String? = null, val url: String? = null)

GetStudioLifecycleConfigResult

data class GetStudioLifecycleConfigResult(val studioLifecycleConfigArn: String? = null)

GetUserProfileResult

data class GetUserProfileResult(val userProfileArn: String? = null, val userSettings: UserProfileUserSettings? = null)

InferenceComponentComputeResourceRequirements

data class InferenceComponentComputeResourceRequirements(val maxMemoryRequiredInMb: Int? = null, val minMemoryRequiredInMb: Int? = null, val numberOfAcceleratorDevicesRequired: Double? = null, val numberOfCpuCoresRequired: Double? = null)

InferenceComponentContainerSpecification

data class InferenceComponentContainerSpecification(val artifactUrl: String? = null, val deployedImage: InferenceComponentDeployedImage? = null, val environment: Map<String, String>? = null, val image: String? = null)

InferenceComponentDeployedImage

data class InferenceComponentDeployedImage(val resolutionTime: String? = null, val resolvedImage: String? = null, val specifiedImage: String? = null)

InferenceComponentRuntimeConfig

data class InferenceComponentRuntimeConfig(val copyCount: Int? = null, val currentCopyCount: Int? = null, val desiredCopyCount: Int? = null)

The runtime config for the inference component

InferenceComponentSpecification

data class InferenceComponentSpecification(val computeResourceRequirements: InferenceComponentComputeResourceRequirements, val container: InferenceComponentContainerSpecification? = null, val modelName: String? = null, val startupParameters: InferenceComponentStartupParameters? = null)

The specification for the inference component

InferenceComponentStartupParameters

data class InferenceComponentStartupParameters(val containerStartupHealthCheckTimeoutInSeconds: Int? = null, val modelDataDownloadTimeoutInSeconds: Int? = null)

InferenceExperimentCaptureContentTypeHeader

data class InferenceExperimentCaptureContentTypeHeader(val csvContentTypes: List<String>? = null, val jsonContentTypes: List<String>? = null)

Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.

InferenceExperimentDataStorageConfig

data class InferenceExperimentDataStorageConfig(val contentType: InferenceExperimentCaptureContentTypeHeader? = null, val destination: String, val kmsKey: String? = null)

The Amazon S3 location and configuration for storing inference request and response data.

InferenceExperimentEndpointMetadata

data class InferenceExperimentEndpointMetadata(val endpointConfigName: String? = null, val endpointName: String, val endpointStatus: InferenceExperimentEndpointMetadataEndpointStatus? = null)

The metadata of the endpoint on which the inference experiment ran.

InferenceExperimentModelInfrastructureConfig

data class InferenceExperimentModelInfrastructureConfig(val infrastructureType: InferenceExperimentModelInfrastructureConfigInfrastructureType, val realTimeInferenceConfig: InferenceExperimentRealTimeInferenceConfig)

The configuration for the infrastructure that the model will be deployed to.

InferenceExperimentModelVariantConfig

data class InferenceExperimentModelVariantConfig(val infrastructureConfig: InferenceExperimentModelInfrastructureConfig, val modelName: String, val variantName: String)

Contains information about the deployment options of a model.

InferenceExperimentRealTimeInferenceConfig

data class InferenceExperimentRealTimeInferenceConfig(val instanceCount: Int, val instanceType: String)

The infrastructure configuration for deploying the model to a real-time inference endpoint.

InferenceExperimentSchedule

data class InferenceExperimentSchedule(val endTime: String? = null, val startTime: String? = null)

The duration for which you want the inference experiment to run.

InferenceExperimentShadowModeConfig

data class InferenceExperimentShadowModeConfig(val shadowModelVariants: List<InferenceExperimentShadowModelVariantConfig>, val sourceModelVariantName: String)

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

InferenceExperimentShadowModelVariantConfig

data class InferenceExperimentShadowModelVariantConfig(val samplingPercentage: Int, val shadowModelVariantName: String)

The name and sampling percentage of a shadow variant.

ModelBiasJobDefinitionBatchTransformInput

data class ModelBiasJobDefinitionBatchTransformInput(val dataCapturedDestinationS3Uri: String, val datasetFormat: ModelBiasJobDefinitionDatasetFormat, val endTimeOffset: String? = null, val featuresAttribute: String? = null, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val probabilityThresholdAttribute: Double? = null, val s3DataDistributionType: ModelBiasJobDefinitionBatchTransformInputS3DataDistributionType? = null, val s3InputMode: ModelBiasJobDefinitionBatchTransformInputS3InputMode? = null, val startTimeOffset: String? = null)

The batch transform input for a monitoring job.

ModelBiasJobDefinitionClusterConfig

data class ModelBiasJobDefinitionClusterConfig(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null, val volumeSizeInGb: Int)

Configuration for the cluster used to run model monitoring jobs.

ModelBiasJobDefinitionConstraintsResource

data class ModelBiasJobDefinitionConstraintsResource(val s3Uri: String? = null)

The baseline constraints resource for a monitoring job.

ModelBiasJobDefinitionCsv

data class ModelBiasJobDefinitionCsv(val header: Boolean? = null)

The CSV format

ModelBiasJobDefinitionDatasetFormat

data class ModelBiasJobDefinitionDatasetFormat(val csv: ModelBiasJobDefinitionCsv? = null, val json: ModelBiasJobDefinitionJson? = null, val parquet: Boolean? = null)

The dataset format of the data to monitor

ModelBiasJobDefinitionEndpointInput

data class ModelBiasJobDefinitionEndpointInput(val endTimeOffset: String? = null, val endpointName: String, val featuresAttribute: String? = null, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val probabilityThresholdAttribute: Double? = null, val s3DataDistributionType: ModelBiasJobDefinitionEndpointInputS3DataDistributionType? = null, val s3InputMode: ModelBiasJobDefinitionEndpointInputS3InputMode? = null, val startTimeOffset: String? = null)

The endpoint for a monitoring job.

ModelBiasJobDefinitionJson

data class ModelBiasJobDefinitionJson(val line: Boolean? = null)

The Json format

ModelBiasJobDefinitionModelBiasAppSpecification

data class ModelBiasJobDefinitionModelBiasAppSpecification(val configUri: String, val environment: Any? = null, val imageUri: String)

Container image configuration object for the monitoring job.

ModelBiasJobDefinitionModelBiasBaselineConfig

data class ModelBiasJobDefinitionModelBiasBaselineConfig(val baseliningJobName: String? = null, val constraintsResource: ModelBiasJobDefinitionConstraintsResource? = null)

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

ModelBiasJobDefinitionModelBiasJobInput

data class ModelBiasJobDefinitionModelBiasJobInput(val batchTransformInput: ModelBiasJobDefinitionBatchTransformInput? = null, val endpointInput: ModelBiasJobDefinitionEndpointInput? = null, val groundTruthS3Input: ModelBiasJobDefinitionMonitoringGroundTruthS3Input)

The inputs for a monitoring job.

ModelBiasJobDefinitionMonitoringGroundTruthS3Input

data class ModelBiasJobDefinitionMonitoringGroundTruthS3Input(val s3Uri: String)

Ground truth input provided in S3

ModelBiasJobDefinitionMonitoringOutput

data class ModelBiasJobDefinitionMonitoringOutput(val s3Output: ModelBiasJobDefinitionS3Output)

The output object for a monitoring job.

ModelBiasJobDefinitionMonitoringOutputConfig

data class ModelBiasJobDefinitionMonitoringOutputConfig(val kmsKeyId: String? = null, val monitoringOutputs: List<ModelBiasJobDefinitionMonitoringOutput>)

The output configuration for monitoring jobs.

ModelBiasJobDefinitionMonitoringResources

data class ModelBiasJobDefinitionMonitoringResources(val clusterConfig: ModelBiasJobDefinitionClusterConfig)

Identifies the resources to deploy for a monitoring job.

ModelBiasJobDefinitionNetworkConfig

data class ModelBiasJobDefinitionNetworkConfig(val enableInterContainerTrafficEncryption: Boolean? = null, val enableNetworkIsolation: Boolean? = null, val vpcConfig: ModelBiasJobDefinitionVpcConfig? = null)

ModelBiasJobDefinitionS3Output

data class ModelBiasJobDefinitionS3Output(val localPath: String, val s3UploadMode: ModelBiasJobDefinitionS3OutputS3UploadMode? = null, val s3Uri: String)

Information about where and how to store the results of a monitoring job.

ModelBiasJobDefinitionStoppingCondition

data class ModelBiasJobDefinitionStoppingCondition(val maxRuntimeInSeconds: Int)

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

ModelBiasJobDefinitionVpcConfig

data class ModelBiasJobDefinitionVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.

ModelCardAdditionalInformation

data class ModelCardAdditionalInformation(val caveatsAndRecommendations: String? = null, val customDetails: Map<String, String>? = null, val ethicalConsiderations: String? = null)

ModelCardBarChartMetric

data class ModelCardBarChartMetric(val name: String, val notes: String? = null, val type: ModelCardBarChartMetricType, val value: List<Double>, val xAxisName: List<String>? = null, val yAxisName: String? = null)

ModelCardBusinessDetails

data class ModelCardBusinessDetails(val businessProblem: String? = null, val businessStakeholders: String? = null, val lineOfBusiness: String? = null)

Business details.

ModelCardContainer

data class ModelCardContainer(val image: String, val modelDataUrl: String? = null, val nearestModelName: String? = null)

ModelCardContent

data class ModelCardContent(val additionalInformation: ModelCardAdditionalInformation? = null, val businessDetails: ModelCardBusinessDetails? = null, val evaluationDetails: List<ModelCardEvaluationDetail>? = null, val intendedUses: ModelCardIntendedUses? = null, val modelOverview: ModelCardModelOverview? = null, val modelPackageDetails: ModelCardModelPackageDetails? = null, val trainingDetails: ModelCardTrainingDetails? = null)

The content of the model card.

ModelCardEvaluationDetail

data class ModelCardEvaluationDetail(val datasets: List<String>? = null, val evaluationJobArn: String? = null, val evaluationObservation: String? = null, val metadata: Map<String, String>? = null, val metricGroups: List<ModelCardMetricGroup>? = null, val name: String)

item of evaluation details

ModelCardInferenceSpecification

data class ModelCardInferenceSpecification(val containers: List<ModelCardContainer>)

ModelCardIntendedUses

data class ModelCardIntendedUses(val explanationsForRiskRating: String? = null, val factorsAffectingModelEfficiency: String? = null, val intendedUses: String? = null, val purposeOfModel: String? = null, val riskRating: ModelCardRiskRating? = null)

Intended usage of model.

ModelCardLinearGraphMetric

data class ModelCardLinearGraphMetric(val name: String, val notes: String? = null, val type: ModelCardLinearGraphMetricType, val value: List<List<Double>>, val xAxisName: String? = null, val yAxisName: String? = null)

Linear graph metric.

ModelCardMatrixMetric

data class ModelCardMatrixMetric(val name: String, val notes: String? = null, val type: ModelCardMatrixMetricType, val value: List<List<Double>>, val xAxisName: List<String>? = null, val yAxisName: List<String>? = null)

ModelCardMetricGroup

data class ModelCardMetricGroup(val metricData: List<Any>, val name: String)

item in metric groups

ModelCardModelOverview

data class ModelCardModelOverview(val algorithmType: String? = null, val inferenceEnvironment: ModelCardModelOverviewInferenceEnvironmentProperties? = null, val modelArtifact: List<String>? = null, val modelCreator: String? = null, val modelDescription: String? = null, val modelId: String? = null, val modelName: String? = null, val modelOwner: String? = null, val modelVersion: Double? = null, val problemType: String? = null)

Overview about the model.

ModelCardModelOverviewInferenceEnvironmentProperties

data class ModelCardModelOverviewInferenceEnvironmentProperties(val containerImage: List<String>? = null)

Overview about the inference.

ModelCardModelPackageCreator

data class ModelCardModelPackageCreator(val userProfileName: String? = null)

ModelCardModelPackageDetails

data class ModelCardModelPackageDetails(val approvalDescription: String? = null, val createdBy: ModelCardModelPackageCreator? = null, val domain: String? = null, val inferenceSpecification: ModelCardInferenceSpecification? = null, val modelApprovalStatus: ModelCardModelPackageDetailsModelApprovalStatus? = null, val modelPackageArn: String? = null, val modelPackageDescription: String? = null, val modelPackageGroupName: String? = null, val modelPackageName: String? = null, val modelPackageStatus: ModelCardModelPackageDetailsModelPackageStatus? = null, val modelPackageVersion: Double? = null, val sourceAlgorithms: List<ModelCardSourceAlgorithm>? = null, val task: String? = null)

Metadata information related to model package version

ModelCardObjectiveFunction

data class ModelCardObjectiveFunction(val function: ModelCardObjectiveFunctionFunctionProperties? = null, val notes: String? = null)

the objective function the model will optimize for.

ModelCardObjectiveFunctionFunctionProperties

data class ModelCardObjectiveFunctionFunctionProperties(val condition: String? = null, val facet: String? = null, val function: ModelCardObjectiveFunctionFunctionPropertiesFunction? = null)

objective function that training job is optimized for.

ModelCardSecurityConfig

data class ModelCardSecurityConfig(val kmsKeyId: String? = null)

An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated workloads with highly sensitive data.

ModelCardSimpleMetric

data class ModelCardSimpleMetric(val name: String, val notes: String? = null, val type: ModelCardSimpleMetricType, val value: Any, val xAxisName: String? = null, val yAxisName: String? = null)

metric data

ModelCardSourceAlgorithm

data class ModelCardSourceAlgorithm(val algorithmName: String, val modelDataUrl: String? = null)

ModelCardTrainingDetails

data class ModelCardTrainingDetails(val objectiveFunction: ModelCardObjectiveFunction? = null, val trainingJobDetails: ModelCardTrainingDetailsTrainingJobDetailsProperties? = null, val trainingObservations: String? = null)

Overview about the training.

ModelCardTrainingDetailsTrainingJobDetailsProperties

data class ModelCardTrainingDetailsTrainingJobDetailsProperties(val hyperParameters: List<ModelCardTrainingHyperParameter>? = null, val trainingArn: String? = null, val trainingDatasets: List<String>? = null, val trainingEnvironment: ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties? = null, val trainingMetrics: List<ModelCardTrainingMetric>? = null, val userProvidedHyperParameters: List<ModelCardTrainingHyperParameter>? = null, val userProvidedTrainingMetrics: List<ModelCardTrainingMetric>? = null)

Details about any associated training jobs.

ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties

data class ModelCardTrainingDetailsTrainingJobDetailsPropertiesTrainingEnvironmentProperties(val containerImage: List<String>? = null)

ModelCardTrainingHyperParameter

data class ModelCardTrainingHyperParameter(val name: String, val value: String)

training hyper parameter

ModelCardTrainingMetric

data class ModelCardTrainingMetric(val name: String, val notes: String? = null, val value: Double)

training metric data.

ModelCardUserContext

data class ModelCardUserContext(val domainId: String? = null, val userProfileArn: String? = null, val userProfileName: String? = null)

Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.

ModelExplainabilityJobDefinitionBatchTransformInput

data class ModelExplainabilityJobDefinitionBatchTransformInput(val dataCapturedDestinationS3Uri: String, val datasetFormat: ModelExplainabilityJobDefinitionDatasetFormat, val featuresAttribute: String? = null, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val s3DataDistributionType: ModelExplainabilityJobDefinitionBatchTransformInputS3DataDistributionType? = null, val s3InputMode: ModelExplainabilityJobDefinitionBatchTransformInputS3InputMode? = null)

The batch transform input for a monitoring job.

ModelExplainabilityJobDefinitionClusterConfig

data class ModelExplainabilityJobDefinitionClusterConfig(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null, val volumeSizeInGb: Int)

Configuration for the cluster used to run model monitoring jobs.

ModelExplainabilityJobDefinitionConstraintsResource

data class ModelExplainabilityJobDefinitionConstraintsResource(val s3Uri: String? = null)

The baseline constraints resource for a monitoring job.

ModelExplainabilityJobDefinitionCsv

data class ModelExplainabilityJobDefinitionCsv(val header: Boolean? = null)

The CSV format

ModelExplainabilityJobDefinitionDatasetFormat

data class ModelExplainabilityJobDefinitionDatasetFormat(val csv: ModelExplainabilityJobDefinitionCsv? = null, val json: ModelExplainabilityJobDefinitionJson? = null, val parquet: Boolean? = null)

The dataset format of the data to monitor

ModelExplainabilityJobDefinitionEndpointInput

data class ModelExplainabilityJobDefinitionEndpointInput(val endpointName: String, val featuresAttribute: String? = null, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val s3DataDistributionType: ModelExplainabilityJobDefinitionEndpointInputS3DataDistributionType? = null, val s3InputMode: ModelExplainabilityJobDefinitionEndpointInputS3InputMode? = null)

The endpoint for a monitoring job.

ModelExplainabilityJobDefinitionJson

data class ModelExplainabilityJobDefinitionJson(val line: Boolean? = null)

The Json format

ModelExplainabilityJobDefinitionModelExplainabilityAppSpecification

data class ModelExplainabilityJobDefinitionModelExplainabilityAppSpecification(val configUri: String, val environment: Any? = null, val imageUri: String)

Container image configuration object for the monitoring job.

ModelExplainabilityJobDefinitionModelExplainabilityBaselineConfig

data class ModelExplainabilityJobDefinitionModelExplainabilityBaselineConfig(val baseliningJobName: String? = null, val constraintsResource: ModelExplainabilityJobDefinitionConstraintsResource? = null)

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

ModelExplainabilityJobDefinitionModelExplainabilityJobInput

data class ModelExplainabilityJobDefinitionModelExplainabilityJobInput(val batchTransformInput: ModelExplainabilityJobDefinitionBatchTransformInput? = null, val endpointInput: ModelExplainabilityJobDefinitionEndpointInput? = null)

The inputs for a monitoring job.

ModelExplainabilityJobDefinitionMonitoringOutput

data class ModelExplainabilityJobDefinitionMonitoringOutput(val s3Output: ModelExplainabilityJobDefinitionS3Output)

The output object for a monitoring job.

ModelExplainabilityJobDefinitionMonitoringOutputConfig

data class ModelExplainabilityJobDefinitionMonitoringOutputConfig(val kmsKeyId: String? = null, val monitoringOutputs: List<ModelExplainabilityJobDefinitionMonitoringOutput>)

The output configuration for monitoring jobs.

ModelExplainabilityJobDefinitionMonitoringResources

data class ModelExplainabilityJobDefinitionMonitoringResources(val clusterConfig: ModelExplainabilityJobDefinitionClusterConfig)

Identifies the resources to deploy for a monitoring job.

ModelExplainabilityJobDefinitionNetworkConfig

data class ModelExplainabilityJobDefinitionNetworkConfig(val enableInterContainerTrafficEncryption: Boolean? = null, val enableNetworkIsolation: Boolean? = null, val vpcConfig: ModelExplainabilityJobDefinitionVpcConfig? = null)

ModelExplainabilityJobDefinitionS3Output

data class ModelExplainabilityJobDefinitionS3Output(val localPath: String, val s3UploadMode: ModelExplainabilityJobDefinitionS3OutputS3UploadMode? = null, val s3Uri: String)

Information about where and how to store the results of a monitoring job.

ModelExplainabilityJobDefinitionStoppingCondition

data class ModelExplainabilityJobDefinitionStoppingCondition(val maxRuntimeInSeconds: Int)

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

ModelExplainabilityJobDefinitionVpcConfig

data class ModelExplainabilityJobDefinitionVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.

ModelPackageAdditionalInferenceSpecificationDefinition

data class ModelPackageAdditionalInferenceSpecificationDefinition(val containers: List<ModelPackageContainerDefinition>, val description: String? = null, val name: String, val supportedContentTypes: List<String>? = null, val supportedRealtimeInferenceInstanceTypes: List<String>? = null, val supportedResponseMimeTypes: List<String>? = null, val supportedTransformInstanceTypes: List<String>? = null)

Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package.AdditionalInferenceSpecifications can be added to existing model packages using AdditionalInferenceSpecificationsToAdd.

ModelPackageBias

data class ModelPackageBias(val postTrainingReport: ModelPackageMetricsSource? = null, val preTrainingReport: ModelPackageMetricsSource? = null, val report: ModelPackageMetricsSource? = null)

Contains bias metrics for a model.

ModelPackageContainerDefinition

data class ModelPackageContainerDefinition(val containerHostname: String? = null, val environment: ModelPackageEnvironment? = null, val framework: String? = null, val frameworkVersion: String? = null, val image: String, val imageDigest: String? = null, val modelDataSource: ModelPackageModelDataSource? = null, val modelDataUrl: String? = null, val modelInput: ModelPackageContainerDefinitionModelInputProperties? = null, val nearestModelName: String? = null)

Describes the Docker container for the model package.

ModelPackageContainerDefinitionModelInputProperties

data class ModelPackageContainerDefinitionModelInputProperties(val dataInputConfig: String)

ModelPackageCustomerMetadataProperties

class ModelPackageCustomerMetadataProperties

The metadata properties associated with the model package versions.

ModelPackageDataSource

data class ModelPackageDataSource(val s3DataSource: ModelPackageS3DataSource)

Describes the input source of a transform job and the way the transform job consumes it.

ModelPackageDriftCheckBaselines

data class ModelPackageDriftCheckBaselines(val bias: ModelPackageDriftCheckBias? = null, val explainability: ModelPackageDriftCheckExplainability? = null, val modelDataQuality: ModelPackageDriftCheckModelDataQuality? = null, val modelQuality: ModelPackageDriftCheckModelQuality? = null)

Represents the drift check baselines that can be used when the model monitor is set using the model package.

ModelPackageDriftCheckBias

data class ModelPackageDriftCheckBias(val configFile: ModelPackageFileSource? = null, val postTrainingConstraints: ModelPackageMetricsSource? = null, val preTrainingConstraints: ModelPackageMetricsSource? = null)

Represents the drift check bias baselines that can be used when the model monitor is set using the model package.

ModelPackageDriftCheckExplainability

data class ModelPackageDriftCheckExplainability(val configFile: ModelPackageFileSource? = null, val constraints: ModelPackageMetricsSource? = null)

Contains explainability metrics for a model.

ModelPackageDriftCheckModelDataQuality

data class ModelPackageDriftCheckModelDataQuality(val constraints: ModelPackageMetricsSource? = null, val statistics: ModelPackageMetricsSource? = null)

Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.

ModelPackageDriftCheckModelQuality

data class ModelPackageDriftCheckModelQuality(val constraints: ModelPackageMetricsSource? = null, val statistics: ModelPackageMetricsSource? = null)

Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.

ModelPackageEnvironment

class ModelPackageEnvironment

Sets the environment variables in the Docker container

ModelPackageExplainability

data class ModelPackageExplainability(val report: ModelPackageMetricsSource? = null)

Contains explainability metrics for a model.

ModelPackageFileSource

data class ModelPackageFileSource(val contentDigest: String? = null, val contentType: String? = null, val s3Uri: String)

Represents a File Source Object.

ModelPackageInferenceSpecification

data class ModelPackageInferenceSpecification(val containers: List<ModelPackageContainerDefinition>, val supportedContentTypes: List<String>, val supportedRealtimeInferenceInstanceTypes: List<String>? = null, val supportedResponseMimeTypes: List<String>, val supportedTransformInstanceTypes: List<String>? = null)

Details about inference jobs that can be run with models based on this model package.

ModelPackageMetadataProperties

data class ModelPackageMetadataProperties(val commitId: String? = null, val generatedBy: String? = null, val projectId: String? = null, val repository: String? = null)

Metadata properties of the tracking entity, trial, or trial component.

ModelPackageMetricsSource

data class ModelPackageMetricsSource(val contentDigest: String? = null, val contentType: String, val s3Uri: String)

Represents a Metric Source Object.

ModelPackageModelAccessConfig

data class ModelPackageModelAccessConfig(val acceptEula: Boolean)

Specifies the access configuration file for the ML model.

ModelPackageModelCard

data class ModelPackageModelCard(val modelCardContent: String, val modelCardStatus: ModelPackageModelCardModelCardStatus)

The model card associated with the model package.

ModelPackageModelDataQuality

data class ModelPackageModelDataQuality(val constraints: ModelPackageMetricsSource? = null, val statistics: ModelPackageMetricsSource? = null)

Metrics that measure the quality of the input data for a model.

ModelPackageModelDataSource

data class ModelPackageModelDataSource(val s3DataSource: ModelPackageS3ModelDataSource? = null)

Specifies the location of ML model data to deploy during endpoint creation.

ModelPackageModelMetrics

data class ModelPackageModelMetrics(val bias: ModelPackageBias? = null, val explainability: ModelPackageExplainability? = null, val modelDataQuality: ModelPackageModelDataQuality? = null, val modelQuality: ModelPackageModelQuality? = null)

A structure that contains model metrics reports.

ModelPackageModelQuality

data class ModelPackageModelQuality(val constraints: ModelPackageMetricsSource? = null, val statistics: ModelPackageMetricsSource? = null)

Metrics that measure the quality of a model.

ModelPackageS3DataSource

data class ModelPackageS3DataSource(val s3DataType: ModelPackageS3DataSourceS3DataType, val s3Uri: String)

Describes the S3 data source.

ModelPackageS3ModelDataSource

data class ModelPackageS3ModelDataSource(val compressionType: ModelPackageS3ModelDataSourceCompressionType, val modelAccessConfig: ModelPackageModelAccessConfig? = null, val s3DataType: ModelPackageS3ModelDataSourceS3DataType, val s3Uri: String)

Specifies the S3 location of ML model data to deploy.

ModelPackageSecurityConfig

data class ModelPackageSecurityConfig(val kmsKeyId: String)

An optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.

ModelPackageSourceAlgorithm

data class ModelPackageSourceAlgorithm(val algorithmName: String, val modelDataUrl: String? = null)

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.

ModelPackageSourceAlgorithmSpecification

data class ModelPackageSourceAlgorithmSpecification(val sourceAlgorithms: List<ModelPackageSourceAlgorithm>)

Details about the algorithm that was used to create the model package.

ModelPackageStatusDetails

data class ModelPackageStatusDetails(val validationStatuses: List<ModelPackageStatusItem>? = null)

Details about the current status of the model package.

ModelPackageStatusItem

data class ModelPackageStatusItem(val failureReason: String? = null, val name: String, val status: ModelPackageStatusItemStatus)

Represents the overall status of a model package.

ModelPackageTransformInput

data class ModelPackageTransformInput(val compressionType: ModelPackageTransformInputCompressionType? = null, val contentType: String? = null, val dataSource: ModelPackageDataSource, val splitType: ModelPackageTransformInputSplitType? = null)

Describes the input source of a transform job and the way the transform job consumes it.

ModelPackageTransformJobDefinition

data class ModelPackageTransformJobDefinition(val batchStrategy: ModelPackageTransformJobDefinitionBatchStrategy? = null, val environment: ModelPackageEnvironment? = null, val maxConcurrentTransforms: Int? = null, val maxPayloadInMb: Int? = null, val transformInput: ModelPackageTransformInput, val transformOutput: ModelPackageTransformOutput, val transformResources: ModelPackageTransformResources)

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

ModelPackageTransformOutput

data class ModelPackageTransformOutput(val accept: String? = null, val assembleWith: ModelPackageTransformOutputAssembleWith? = null, val kmsKeyId: String? = null, val s3OutputPath: String)

Describes the results of a transform job.

ModelPackageTransformResources

data class ModelPackageTransformResources(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null)

Describes the resources, including ML instance types and ML instance count, to use for transform job.

ModelPackageValidationProfile

data class ModelPackageValidationProfile(val profileName: String, val transformJobDefinition: ModelPackageTransformJobDefinition)

Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.

ModelPackageValidationSpecification

data class ModelPackageValidationSpecification(val validationProfiles: List<ModelPackageValidationProfile>, val validationRole: String)

Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.

ModelQualityJobDefinitionBatchTransformInput

data class ModelQualityJobDefinitionBatchTransformInput(val dataCapturedDestinationS3Uri: String, val datasetFormat: ModelQualityJobDefinitionDatasetFormat, val endTimeOffset: String? = null, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val probabilityThresholdAttribute: Double? = null, val s3DataDistributionType: ModelQualityJobDefinitionBatchTransformInputS3DataDistributionType? = null, val s3InputMode: ModelQualityJobDefinitionBatchTransformInputS3InputMode? = null, val startTimeOffset: String? = null)

The batch transform input for a monitoring job.

ModelQualityJobDefinitionClusterConfig

data class ModelQualityJobDefinitionClusterConfig(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null, val volumeSizeInGb: Int)

Configuration for the cluster used to run model monitoring jobs.

ModelQualityJobDefinitionConstraintsResource

data class ModelQualityJobDefinitionConstraintsResource(val s3Uri: String? = null)

The baseline constraints resource for a monitoring job.

ModelQualityJobDefinitionCsv

data class ModelQualityJobDefinitionCsv(val header: Boolean? = null)

The CSV format

ModelQualityJobDefinitionDatasetFormat

data class ModelQualityJobDefinitionDatasetFormat(val csv: ModelQualityJobDefinitionCsv? = null, val json: ModelQualityJobDefinitionJson? = null, val parquet: Boolean? = null)

The dataset format of the data to monitor

ModelQualityJobDefinitionEndpointInput

data class ModelQualityJobDefinitionEndpointInput(val endTimeOffset: String? = null, val endpointName: String, val inferenceAttribute: String? = null, val localPath: String, val probabilityAttribute: String? = null, val probabilityThresholdAttribute: Double? = null, val s3DataDistributionType: ModelQualityJobDefinitionEndpointInputS3DataDistributionType? = null, val s3InputMode: ModelQualityJobDefinitionEndpointInputS3InputMode? = null, val startTimeOffset: String? = null)

The endpoint for a monitoring job.

ModelQualityJobDefinitionJson

data class ModelQualityJobDefinitionJson(val line: Boolean? = null)

The Json format

ModelQualityJobDefinitionModelQualityAppSpecification

data class ModelQualityJobDefinitionModelQualityAppSpecification(val containerArguments: List<String>? = null, val containerEntrypoint: List<String>? = null, val environment: Any? = null, val imageUri: String, val postAnalyticsProcessorSourceUri: String? = null, val problemType: ModelQualityJobDefinitionProblemType, val recordPreprocessorSourceUri: String? = null)

Container image configuration object for the monitoring job.

ModelQualityJobDefinitionModelQualityBaselineConfig

data class ModelQualityJobDefinitionModelQualityBaselineConfig(val baseliningJobName: String? = null, val constraintsResource: ModelQualityJobDefinitionConstraintsResource? = null)

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

ModelQualityJobDefinitionModelQualityJobInput

data class ModelQualityJobDefinitionModelQualityJobInput(val batchTransformInput: ModelQualityJobDefinitionBatchTransformInput? = null, val endpointInput: ModelQualityJobDefinitionEndpointInput? = null, val groundTruthS3Input: ModelQualityJobDefinitionMonitoringGroundTruthS3Input)

The inputs for a monitoring job.

ModelQualityJobDefinitionMonitoringGroundTruthS3Input

data class ModelQualityJobDefinitionMonitoringGroundTruthS3Input(val s3Uri: String)

Ground truth input provided in S3

ModelQualityJobDefinitionMonitoringOutput

data class ModelQualityJobDefinitionMonitoringOutput(val s3Output: ModelQualityJobDefinitionS3Output)

The output object for a monitoring job.

ModelQualityJobDefinitionMonitoringOutputConfig

data class ModelQualityJobDefinitionMonitoringOutputConfig(val kmsKeyId: String? = null, val monitoringOutputs: List<ModelQualityJobDefinitionMonitoringOutput>)

The output configuration for monitoring jobs.

ModelQualityJobDefinitionMonitoringResources

data class ModelQualityJobDefinitionMonitoringResources(val clusterConfig: ModelQualityJobDefinitionClusterConfig)

Identifies the resources to deploy for a monitoring job.

ModelQualityJobDefinitionNetworkConfig

data class ModelQualityJobDefinitionNetworkConfig(val enableInterContainerTrafficEncryption: Boolean? = null, val enableNetworkIsolation: Boolean? = null, val vpcConfig: ModelQualityJobDefinitionVpcConfig? = null)

ModelQualityJobDefinitionS3Output

data class ModelQualityJobDefinitionS3Output(val localPath: String, val s3UploadMode: ModelQualityJobDefinitionS3OutputS3UploadMode? = null, val s3Uri: String)

Information about where and how to store the results of a monitoring job.

ModelQualityJobDefinitionStoppingCondition

data class ModelQualityJobDefinitionStoppingCondition(val maxRuntimeInSeconds: Int)

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

ModelQualityJobDefinitionVpcConfig

data class ModelQualityJobDefinitionVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.

MonitoringScheduleBaselineConfig

data class MonitoringScheduleBaselineConfig(val constraintsResource: MonitoringScheduleConstraintsResource? = null, val statisticsResource: MonitoringScheduleStatisticsResource? = null)

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

MonitoringScheduleBatchTransformInput

data class MonitoringScheduleBatchTransformInput(val dataCapturedDestinationS3Uri: String, val datasetFormat: MonitoringScheduleDatasetFormat, val excludeFeaturesAttribute: String? = null, val localPath: String, val s3DataDistributionType: MonitoringScheduleBatchTransformInputS3DataDistributionType? = null, val s3InputMode: MonitoringScheduleBatchTransformInputS3InputMode? = null)

The batch transform input for a monitoring job.

MonitoringScheduleClusterConfig

data class MonitoringScheduleClusterConfig(val instanceCount: Int, val instanceType: String, val volumeKmsKeyId: String? = null, val volumeSizeInGb: Int)

Configuration for the cluster used to run model monitoring jobs.

MonitoringScheduleConfig

data class MonitoringScheduleConfig(val monitoringJobDefinition: MonitoringScheduleMonitoringJobDefinition? = null, val monitoringJobDefinitionName: String? = null, val monitoringType: MonitoringScheduleMonitoringType? = null, val scheduleConfig: MonitoringScheduleScheduleConfig? = null)

The configuration object that specifies the monitoring schedule and defines the monitoring job.

MonitoringScheduleConstraintsResource

data class MonitoringScheduleConstraintsResource(val s3Uri: String? = null)

The baseline constraints resource for a monitoring job.

MonitoringScheduleCsv

data class MonitoringScheduleCsv(val header: Boolean? = null)

The CSV format

MonitoringScheduleDatasetFormat

data class MonitoringScheduleDatasetFormat(val csv: MonitoringScheduleCsv? = null, val json: MonitoringScheduleJson? = null, val parquet: Boolean? = null)

The dataset format of the data to monitor

MonitoringScheduleEndpointInput

data class MonitoringScheduleEndpointInput(val endpointName: String, val excludeFeaturesAttribute: String? = null, val localPath: String, val s3DataDistributionType: MonitoringScheduleEndpointInputS3DataDistributionType? = null, val s3InputMode: MonitoringScheduleEndpointInputS3InputMode? = null)

The endpoint for a monitoring job.

MonitoringScheduleJson

data class MonitoringScheduleJson(val line: Boolean? = null)

The Json format

MonitoringScheduleMonitoringAppSpecification

data class MonitoringScheduleMonitoringAppSpecification(val containerArguments: List<String>? = null, val containerEntrypoint: List<String>? = null, val imageUri: String, val postAnalyticsProcessorSourceUri: String? = null, val recordPreprocessorSourceUri: String? = null)

Container image configuration object for the monitoring job.

MonitoringScheduleMonitoringExecutionSummary

data class MonitoringScheduleMonitoringExecutionSummary(val creationTime: String, val endpointName: String? = null, val failureReason: String? = null, val lastModifiedTime: String, val monitoringExecutionStatus: MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus, val monitoringScheduleName: String, val processingJobArn: String? = null, val scheduledTime: String)

Summary of information about monitoring job

MonitoringScheduleMonitoringInput

data class MonitoringScheduleMonitoringInput(val batchTransformInput: MonitoringScheduleBatchTransformInput? = null, val endpointInput: MonitoringScheduleEndpointInput? = null)

The inputs for a monitoring job.

MonitoringScheduleMonitoringJobDefinition

data class MonitoringScheduleMonitoringJobDefinition(val baselineConfig: MonitoringScheduleBaselineConfig? = null, val environment: Any? = null, val monitoringAppSpecification: MonitoringScheduleMonitoringAppSpecification, val monitoringInputs: List<MonitoringScheduleMonitoringInput>, val monitoringOutputConfig: MonitoringScheduleMonitoringOutputConfig, val monitoringResources: MonitoringScheduleMonitoringResources, val networkConfig: MonitoringScheduleNetworkConfig? = null, val roleArn: String, val stoppingCondition: MonitoringScheduleStoppingCondition? = null)

Defines the monitoring job.

MonitoringScheduleMonitoringOutput

data class MonitoringScheduleMonitoringOutput(val s3Output: MonitoringScheduleS3Output)

The output object for a monitoring job.

MonitoringScheduleMonitoringOutputConfig

data class MonitoringScheduleMonitoringOutputConfig(val kmsKeyId: String? = null, val monitoringOutputs: List<MonitoringScheduleMonitoringOutput>)

The output configuration for monitoring jobs.

MonitoringScheduleMonitoringResources

data class MonitoringScheduleMonitoringResources(val clusterConfig: MonitoringScheduleClusterConfig)

Identifies the resources to deploy for a monitoring job.

MonitoringScheduleNetworkConfig

data class MonitoringScheduleNetworkConfig(val enableInterContainerTrafficEncryption: Boolean? = null, val enableNetworkIsolation: Boolean? = null, val vpcConfig: MonitoringScheduleVpcConfig? = null)

MonitoringScheduleS3Output

data class MonitoringScheduleS3Output(val localPath: String, val s3UploadMode: MonitoringScheduleS3OutputS3UploadMode? = null, val s3Uri: String)

Information about where and how to store the results of a monitoring job.

MonitoringScheduleScheduleConfig

data class MonitoringScheduleScheduleConfig(val dataAnalysisEndTime: String? = null, val dataAnalysisStartTime: String? = null, val scheduleExpression: String)

Configuration details about the monitoring schedule.

MonitoringScheduleStatisticsResource

data class MonitoringScheduleStatisticsResource(val s3Uri: String? = null)

The baseline statistics resource for a monitoring job.

MonitoringScheduleStoppingCondition

data class MonitoringScheduleStoppingCondition(val maxRuntimeInSeconds: Int)

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

MonitoringScheduleVpcConfig

data class MonitoringScheduleVpcConfig(val securityGroupIds: List<String>, val subnets: List<String>)

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.

OfflineStoreConfigProperties

data class OfflineStoreConfigProperties(val dataCatalogConfig: FeatureGroupDataCatalogConfig? = null, val disableGlueTableCreation: Boolean? = null, val s3StorageConfig: FeatureGroupS3StorageConfig, val tableFormat: FeatureGroupTableFormat? = null)

The configuration of an OfflineStore .

OnlineStoreConfigProperties

data class OnlineStoreConfigProperties(val enableOnlineStore: Boolean? = null, val securityConfig: FeatureGroupOnlineStoreSecurityConfig? = null, val storageType: FeatureGroupStorageType? = null, val ttlDuration: FeatureGroupTtlDuration? = null)

The configuration of an OnlineStore .

ParallelismConfigurationProperties

data class ParallelismConfigurationProperties(val maxParallelExecutionSteps: Int)

The parallelism configuration applied to the pipeline.

PipelineDefinition0Properties

data class PipelineDefinition0Properties(val pipelineDefinitionBody: String)

The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.

PipelineDefinition1Properties

data class PipelineDefinition1Properties(val pipelineDefinitionS3Location: PipelineS3Location)

The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.

PipelineS3Location

data class PipelineS3Location(val bucket: String, val eTag: String? = null, val key: String, val version: String? = null)

ProjectProvisioningParameter

data class ProjectProvisioningParameter(val key: String, val value: String)

Information about a parameter used to provision a product.

ServiceCatalogProvisionedProductDetailsProperties

data class ServiceCatalogProvisionedProductDetailsProperties(val provisionedProductId: String? = null, val provisionedProductStatusMessage: String? = null)

Provisioned ServiceCatalog Details

ServiceCatalogProvisioningDetailsProperties

data class ServiceCatalogProvisioningDetailsProperties(val pathId: String? = null, val productId: String, val provisioningArtifactId: String? = null, val provisioningParameters: List<ProjectProvisioningParameter>? = null)

Input ServiceCatalog Provisioning Details

SpaceAppLifecycleManagement

data class SpaceAppLifecycleManagement(val idleSettings: SpaceIdleSettings? = null)

SpaceCodeEditorAppSettings

data class SpaceCodeEditorAppSettings(val appLifecycleManagement: SpaceAppLifecycleManagement? = null, val defaultResourceSpec: SpaceResourceSpec? = null)

The CodeEditor app settings.

SpaceCodeRepository

data class SpaceCodeRepository(val repositoryUrl: String)

SpaceCustomFileSystem

data class SpaceCustomFileSystem(val efsFileSystem: SpaceEfsFileSystem? = null)

SpaceCustomImage

data class SpaceCustomImage(val appImageConfigName: String, val imageName: String, val imageVersionNumber: Int? = null)

A custom SageMaker image.

SpaceEbsStorageSettings

data class SpaceEbsStorageSettings(val ebsVolumeSizeInGb: Int)

Properties related to the space's Amazon Elastic Block Store volume.

SpaceEfsFileSystem

data class SpaceEfsFileSystem(val fileSystemId: String)

SpaceIdleSettings

data class SpaceIdleSettings(val idleTimeoutInMinutes: Int? = null)

SpaceJupyterLabAppSettings

data class SpaceJupyterLabAppSettings(val appLifecycleManagement: SpaceAppLifecycleManagement? = null, val codeRepositories: List<SpaceCodeRepository>? = null, val defaultResourceSpec: SpaceResourceSpec? = null)

The JupyterServer app settings.

SpaceJupyterServerAppSettings

data class SpaceJupyterServerAppSettings(val defaultResourceSpec: SpaceResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The JupyterServer app settings.

SpaceKernelGatewayAppSettings

data class SpaceKernelGatewayAppSettings(val customImages: List<SpaceCustomImage>? = null, val defaultResourceSpec: SpaceResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The kernel gateway app settings.

SpaceOwnershipSettings

data class SpaceOwnershipSettings(val ownerUserProfileName: String)

SpaceResourceSpec

data class SpaceResourceSpec(val instanceType: SpaceResourceSpecInstanceType? = null, val lifecycleConfigArn: String? = null, val sageMakerImageArn: String? = null, val sageMakerImageVersionArn: String? = null)

SpaceSettings

data class SpaceSettings(val appType: SpaceAppType? = null, val codeEditorAppSettings: SpaceCodeEditorAppSettings? = null, val customFileSystems: List<SpaceCustomFileSystem>? = null, val jupyterLabAppSettings: SpaceJupyterLabAppSettings? = null, val jupyterServerAppSettings: SpaceJupyterServerAppSettings? = null, val kernelGatewayAppSettings: SpaceKernelGatewayAppSettings? = null, val spaceStorageSettings: SpaceStorageSettings? = null)

A collection of settings that apply to spaces of Amazon SageMaker Studio. These settings are specified when the CreateSpace API is called.

SpaceSharingSettings

data class SpaceSharingSettings(val sharingType: SpaceSharingSettingsSharingType)

SpaceStorageSettings

data class SpaceStorageSettings(val ebsStorageSettings: SpaceEbsStorageSettings? = null)

UserProfileAppLifecycleManagement

data class UserProfileAppLifecycleManagement(val idleSettings: UserProfileIdleSettings? = null)

UserProfileCodeEditorAppSettings

data class UserProfileCodeEditorAppSettings(val appLifecycleManagement: UserProfileAppLifecycleManagement? = null, val customImages: List<UserProfileCustomImage>? = null, val defaultResourceSpec: UserProfileResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The CodeEditor app settings.

UserProfileCodeRepository

data class UserProfileCodeRepository(val repositoryUrl: String)

UserProfileCustomFileSystemConfig

data class UserProfileCustomFileSystemConfig(val efsFileSystemConfig: UserProfileEfsFileSystemConfig? = null)

UserProfileCustomImage

data class UserProfileCustomImage(val appImageConfigName: String, val imageName: String, val imageVersionNumber: Int? = null)

A custom SageMaker image.

UserProfileCustomPosixUserConfig

data class UserProfileCustomPosixUserConfig(val gid: Int, val uid: Int)

UserProfileDefaultEbsStorageSettings

data class UserProfileDefaultEbsStorageSettings(val defaultEbsVolumeSizeInGb: Int, val maximumEbsVolumeSizeInGb: Int)

Properties related to the Amazon Elastic Block Store volume.

UserProfileDefaultSpaceStorageSettings

data class UserProfileDefaultSpaceStorageSettings(val defaultEbsStorageSettings: UserProfileDefaultEbsStorageSettings? = null)

Default storage settings for a space.

UserProfileEfsFileSystemConfig

data class UserProfileEfsFileSystemConfig(val fileSystemId: String, val fileSystemPath: String? = null)

UserProfileIdleSettings

data class UserProfileIdleSettings(val idleTimeoutInMinutes: Int? = null, val lifecycleManagement: UserProfileLifecycleManagement? = null, val maxIdleTimeoutInMinutes: Int? = null, val minIdleTimeoutInMinutes: Int? = null)

UserProfileJupyterLabAppSettings

data class UserProfileJupyterLabAppSettings(val appLifecycleManagement: UserProfileAppLifecycleManagement? = null, val codeRepositories: List<UserProfileCodeRepository>? = null, val customImages: List<UserProfileCustomImage>? = null, val defaultResourceSpec: UserProfileResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The JupyterLab app settings.

UserProfileJupyterServerAppSettings

data class UserProfileJupyterServerAppSettings(val defaultResourceSpec: UserProfileResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The JupyterServer app settings.

UserProfileKernelGatewayAppSettings

data class UserProfileKernelGatewayAppSettings(val customImages: List<UserProfileCustomImage>? = null, val defaultResourceSpec: UserProfileResourceSpec? = null, val lifecycleConfigArns: List<String>? = null)

The kernel gateway app settings.

UserProfileResourceSpec

data class UserProfileResourceSpec(val instanceType: UserProfileResourceSpecInstanceType? = null, val lifecycleConfigArn: String? = null, val sageMakerImageArn: String? = null, val sageMakerImageVersionArn: String? = null)

UserProfileRStudioServerProAppSettings

data class UserProfileRStudioServerProAppSettings(val accessStatus: UserProfileRStudioServerProAppSettingsAccessStatus? = null, val userGroup: UserProfileRStudioServerProAppSettingsUserGroup? = null)

A collection of settings that configure user interaction with the RStudioServerPro app.

UserProfileSharingSettings

data class UserProfileSharingSettings(val notebookOutputOption: UserProfileSharingSettingsNotebookOutputOption? = null, val s3KmsKeyId: String? = null, val s3OutputPath: String? = null)

UserProfileStudioWebPortalSettings

data class UserProfileStudioWebPortalSettings(val hiddenAppTypes: List<UserProfileAppType>? = null, val hiddenMlTools: List<UserProfileMlTools>? = null)

Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

UserProfileUserSettings

data class UserProfileUserSettings(val codeEditorAppSettings: UserProfileCodeEditorAppSettings? = null, val customFileSystemConfigs: List<UserProfileCustomFileSystemConfig>? = null, val customPosixUserConfig: UserProfileCustomPosixUserConfig? = null, val defaultLandingUri: String? = null, val executionRole: String? = null, val jupyterLabAppSettings: UserProfileJupyterLabAppSettings? = null, val jupyterServerAppSettings: UserProfileJupyterServerAppSettings? = null, val kernelGatewayAppSettings: UserProfileKernelGatewayAppSettings? = null, val rStudioServerProAppSettings: UserProfileRStudioServerProAppSettings? = null, val securityGroups: List<String>? = null, val sharingSettings: UserProfileSharingSettings? = null, val spaceStorageSettings: UserProfileDefaultSpaceStorageSettings? = null, val studioWebPortal: UserProfileUserSettingsStudioWebPortal? = null, val studioWebPortalSettings: UserProfileStudioWebPortalSettings? = null)