Package-level declarations
Types
The configuration for the kernels in a SageMaker image running as a CodeEditor app.
The container configuration for a SageMaker image.
Builder for AppImageConfigContainerConfigArgs.
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
Builder for AppImageConfigFileSystemConfigArgs.
The configuration for the kernels in a SageMaker image running as a JupyterLab app.
The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.
Builder for AppImageConfigKernelSpecArgs.
Builder for AppResourceSpecArgs.
Details of an instance group in a SageMaker HyperPod cluster.
Builder for ClusterInstanceGroupArgs.
Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster instance group.
Builder for ClusterInstanceStorageConfigArgs.
The lifecycle configuration for a SageMaker HyperPod cluster.
Builder for ClusterLifeCycleConfigArgs.
Specifies parameter(s) specific to the orchestrator, e.g. specify the EKS cluster.
Builder for ClusterOrchestratorArgs.
Specifies parameter(s) related to EKS as orchestrator, e.g. the EKS cluster nodes will attach to,
Builder for ClusterOrchestratorEksConfigArgs.
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.
Builder for ClusterVpcConfigArgs.
The batch transform input for a monitoring job.
Configuration for the cluster used to run model monitoring jobs.
The baseline constraints resource for a monitoring job.
The CSV format
Builder for DataQualityJobDefinitionCsvArgs.
Container image configuration object for the monitoring job.
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
The inputs for a monitoring job.
The dataset format of the data to monitor
The endpoint for a monitoring job.
The Json format
Builder for DataQualityJobDefinitionJsonArgs.
The output object for a monitoring job.
The output configuration for monitoring jobs.
Identifies the resources to deploy for a monitoring job.
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.
Information about where and how to store the results of a monitoring job.
The baseline statistics resource for a monitoring job.
Specifies a time limit for how long the monitoring job is allowed to run.
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.
Edge device you want to create
Builder for DeviceArgs.
Builder for DeviceFleetEdgeOutputConfigArgs.
Builder for DomainAppLifecycleManagementArgs.
The CodeEditor app settings.
Builder for DomainCodeEditorAppSettingsArgs.
Builder for DomainCodeRepositoryArgs.
Builder for DomainCustomFileSystemConfigArgs.
A custom SageMaker image.
Builder for DomainCustomImageArgs.
Builder for DomainCustomPosixUserConfigArgs.
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
A collection of settings that apply to spaces of Amazon SageMaker Studio. These settings are specified when the Create/Update Domain API is called.
Builder for DomainDefaultSpaceSettingsArgs.
Default storage settings for a space.
A collection of settings that are required to start docker-proxy server.
Builder for DomainDockerSettingsArgs.
Builder for DomainEfsFileSystemConfigArgs.
Builder for DomainHiddenSageMakerImageArgs.
Builder for DomainIdleSettingsArgs.
The JupyterLab app settings.
Builder for DomainJupyterLabAppSettingsArgs.
The JupyterServer app settings.
Builder for DomainJupyterServerAppSettingsArgs.
The kernel gateway app settings.
Builder for DomainKernelGatewayAppSettingsArgs.
Builder for DomainResourceSpecArgs.
A collection of settings that apply to an RSessionGateway app.
Builder for DomainRSessionAppSettingsArgs.
A collection of settings that configure user interaction with the RStudioServerPro app.
A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.
A collection of Domain settings.
Builder for DomainSettingsArgs.
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.
Builder for DomainSharingSettingsArgs.
Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
Builder for DomainStudioWebPortalSettingsArgs.
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.
Builder for DomainUserSettingsArgs.
Builder for EndpointAlarmArgs.
Builder for EndpointAutoRollbackConfigArgs.
Builder for EndpointBlueGreenUpdatePolicyArgs.
Builder for EndpointCapacitySizeArgs.
Builder for EndpointDeploymentConfigArgs.
Builder for EndpointRollingUpdatePolicyArgs.
Builder for EndpointTrafficRoutingConfigArgs.
Builder for EndpointVariantPropertyArgs.
Builder for FeatureGroupDataCatalogConfigArgs.
Builder for FeatureGroupFeatureDefinitionArgs.
Builder for FeatureGroupS3StorageConfigArgs.
Builder for FeatureGroupThroughputConfigArgs.
TTL configuration of the feature group
Builder for FeatureGroupTtlDurationArgs.
Builder for GetAppImageConfigPlainArgs.
Builder for GetAppPlainArgs.
Builder for GetClusterPlainArgs.
Builder for GetDeviceFleetPlainArgs.
Builder for GetDomainPlainArgs.
Builder for GetEndpointPlainArgs.
Builder for GetFeatureGroupPlainArgs.
Builder for GetImagePlainArgs.
/*
Builder for GetImageVersionPlainArgs.
Builder for GetInferenceComponentPlainArgs.
Builder for GetInferenceExperimentPlainArgs.
Builder for GetMlflowTrackingServerPlainArgs.
Builder for GetModelBiasJobDefinitionPlainArgs.
Builder for GetModelCardPlainArgs.
Builder for GetModelPackageGroupPlainArgs.
Builder for GetModelPackagePlainArgs.
Builder for GetMonitoringSchedulePlainArgs.
Builder for GetPartnerAppPlainArgs.
Builder for GetPipelinePlainArgs.
Builder for GetProjectPlainArgs.
Builder for GetSpacePlainArgs.
Builder for GetStudioLifecycleConfigPlainArgs.
Builder for GetUserProfilePlainArgs.
Builder for InferenceComponentAlarmArgs.
Capacity size configuration for the inference component
Builder for InferenceComponentCapacitySizeArgs.
The deployment config for the inference component
The rolling update policy for the inference component
The runtime config for the inference component
The specification for the inference component
Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.
The Amazon S3 location and configuration for storing inference request and response data.
The configuration for the infrastructure that the model will be deployed to.
Contains information about the deployment options of a model.
The infrastructure configuration for deploying the model to a real-time inference endpoint.
The duration for which you want the inference experiment to run.
Builder for InferenceExperimentScheduleArgs.
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.
The name and sampling percentage of a shadow variant.
The batch transform input for a monitoring job.
Configuration for the cluster used to run model monitoring jobs.
The baseline constraints resource for a monitoring job.
The CSV format
Builder for ModelBiasJobDefinitionCsvArgs.
The dataset format of the data to monitor
The endpoint for a monitoring job.
The Json format
Builder for ModelBiasJobDefinitionJsonArgs.
Container image configuration object for the monitoring job.
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
The inputs for a monitoring job.
Ground truth input provided in S3
The output object for a monitoring job.
The output configuration for monitoring jobs.
Identifies the resources to deploy for a monitoring job.
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.
Information about where and how to store the results of a monitoring job.
Builder for ModelBiasJobDefinitionS3OutputArgs.
Specifies a time limit for how long the monitoring job is allowed to run.
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.
Builder for ModelCardAdditionalInformationArgs.
Builder for ModelCardBarChartMetricArgs.
Business details.
Builder for ModelCardBusinessDetailsArgs.
Builder for ModelCardContainerArgs.
The content of the model card.
Builder for ModelCardContentArgs.
item of evaluation details
Builder for ModelCardEvaluationDetailArgs.
Intended usage of model.
Builder for ModelCardIntendedUsesArgs.
Linear graph metric.
Builder for ModelCardLinearGraphMetricArgs.
Builder for ModelCardMatrixMetricArgs.
item in metric groups
Builder for ModelCardMetricGroupArgs.
Overview about the model.
Builder for ModelCardModelOverviewArgs.
Overview about the inference.
Builder for ModelCardModelPackageCreatorArgs.
Metadata information related to model package version
Builder for ModelCardModelPackageDetailsArgs.
the objective function the model will optimize for.
Builder for ModelCardObjectiveFunctionArgs.
objective function that training job is optimized for.
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated workloads with highly sensitive data.
Builder for ModelCardSecurityConfigArgs.
metric data
Builder for ModelCardSimpleMetricArgs.
Builder for ModelCardSourceAlgorithmArgs.
Overview about the training.
Builder for ModelCardTrainingDetailsArgs.
Details about any associated training jobs.
training hyper parameter
training metric data.
Builder for ModelCardTrainingMetricArgs.
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
Builder for ModelCardUserContextArgs.
The batch transform input for a monitoring job.
Configuration for the cluster used to run model monitoring jobs.
The baseline constraints resource for a monitoring job.
The CSV format
The dataset format of the data to monitor
The endpoint for a monitoring job.
The Json format
Container image configuration object for the monitoring job.
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
The inputs for a monitoring job.
The output object for a monitoring job.
The output configuration for monitoring jobs.
Identifies the resources to deploy for a monitoring job.
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.
Information about where and how to store the results of a monitoring job.
Specifies a time limit for how long the monitoring job is allowed to run.
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.
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.
Contains bias metrics for a model.
Builder for ModelPackageBiasArgs.
Describes the Docker container for the model package.
The metadata properties associated with the model package versions.
Describes the input source of a transform job and the way the transform job consumes it.
Builder for ModelPackageDataSourceArgs.
Represents the drift check baselines that can be used when the model monitor is set using the model package.
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
Builder for ModelPackageDriftCheckBiasArgs.
Contains explainability metrics for a model.
Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.
Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
Sets the environment variables in the Docker container
Builder for ModelPackageEnvironmentArgs.
Contains explainability metrics for a model.
Builder for ModelPackageExplainabilityArgs.
Represents a File Source Object.
Builder for ModelPackageFileSourceArgs.
Details about inference jobs that can be run with models based on this model package.
Metadata properties of the tracking entity, trial, or trial component.
Builder for ModelPackageMetadataPropertiesArgs.
Represents a Metric Source Object.
Builder for ModelPackageMetricsSourceArgs.
Specifies the access configuration file for the ML model.
Builder for ModelPackageModelAccessConfigArgs.
The model card associated with the model package.
Builder for ModelPackageModelCardArgs.
Metrics that measure the quality of the input data for a model.
Builder for ModelPackageModelDataQualityArgs.
Specifies the location of ML model data to deploy during endpoint creation.
Builder for ModelPackageModelDataSourceArgs.
A structure that contains model metrics reports.
Builder for ModelPackageModelMetricsArgs.
Metrics that measure the quality of a model.
Builder for ModelPackageModelQualityArgs.
Describes the S3 data source.
Builder for ModelPackageS3DataSourceArgs.
Specifies the S3 location of ML model data to deploy.
Builder for ModelPackageS3ModelDataSourceArgs.
An optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.
Builder for ModelPackageSecurityConfigArgs.
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.
Builder for ModelPackageSourceAlgorithmArgs.
Details about the algorithm that was used to create the model package.
Details about the current status of the model package.
Builder for ModelPackageStatusDetailsArgs.
Represents the overall status of a model package.
Builder for ModelPackageStatusItemArgs.
Describes the input source of a transform job and the way the transform job consumes it.
Builder for ModelPackageTransformInputArgs.
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
Describes the results of a transform job.
Builder for ModelPackageTransformOutputArgs.
Describes the resources, including ML instance types and ML instance count, to use for transform job.
Builder for ModelPackageTransformResourcesArgs.
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
Builder for ModelPackageValidationProfileArgs.
Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
The batch transform input for a monitoring job.
Configuration for the cluster used to run model monitoring jobs.
The baseline constraints resource for a monitoring job.
The CSV format
Builder for ModelQualityJobDefinitionCsvArgs.
The dataset format of the data to monitor
The endpoint for a monitoring job.
The Json format
Builder for ModelQualityJobDefinitionJsonArgs.
Container image configuration object for the monitoring job.
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
The inputs for a monitoring job.
Ground truth input provided in S3
The output object for a monitoring job.
The output configuration for monitoring jobs.
Identifies the resources to deploy for a monitoring job.
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.
Information about where and how to store the results of a monitoring job.
Specifies a time limit for how long the monitoring job is allowed to run.
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.
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
The batch transform input for a monitoring job.
Configuration for the cluster used to run model monitoring jobs.
The configuration object that specifies the monitoring schedule and defines the monitoring job.
Builder for MonitoringScheduleConfigArgs.
The baseline constraints resource for a monitoring job.
The CSV format
Builder for MonitoringScheduleCsvArgs.
The dataset format of the data to monitor
The endpoint for a monitoring job.
The Json format
Builder for MonitoringScheduleJsonArgs.
Container image configuration object for the monitoring job.
Summary of information about monitoring job
The inputs for a monitoring job.
Defines the monitoring job.
The output object for a monitoring job.
The output configuration for monitoring jobs.
Identifies the resources to deploy for a monitoring job.
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.
Information about where and how to store the results of a monitoring job.
Builder for MonitoringScheduleS3OutputArgs.
Configuration details about the monitoring schedule.
The baseline statistics resource for a monitoring job.
Specifies a time limit for how long the monitoring job is allowed to run.
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.
Builder for MonitoringScheduleVpcConfigArgs.
The configuration of an OfflineStore
.
Builder for OfflineStoreConfigPropertiesArgs.
The configuration of an OnlineStore
.
Builder for OnlineStoreConfigPropertiesArgs.
The parallelism configuration applied to the pipeline.
Builder for PartnerAppConfigArgs.
A collection of settings that specify the maintenance schedule for the PartnerApp.
Builder for PartnerAppMaintenanceConfigArgs.
The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.
Builder for PipelineDefinition0PropertiesArgs.
The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.
Builder for PipelineDefinition1PropertiesArgs.
Builder for PipelineS3LocationArgs.
Information about a parameter used to provision a product.
Builder for ProjectProvisioningParameterArgs.
Provisioned ServiceCatalog Details
Input ServiceCatalog Provisioning Details
Builder for SpaceAppLifecycleManagementArgs.
The CodeEditor app settings.
Builder for SpaceCodeEditorAppSettingsArgs.
Builder for SpaceCodeRepositoryArgs.
Builder for SpaceCustomFileSystemArgs.
A custom SageMaker image.
Builder for SpaceCustomImageArgs.
Properties related to the space's Amazon Elastic Block Store volume.
Builder for SpaceEbsStorageSettingsArgs.
Builder for SpaceEfsFileSystemArgs.
Builder for SpaceFSxLustreFileSystemArgs.
Builder for SpaceIdleSettingsArgs.
The JupyterServer app settings.
Builder for SpaceJupyterLabAppSettingsArgs.
The JupyterServer app settings.
Builder for SpaceJupyterServerAppSettingsArgs.
The kernel gateway app settings.
Builder for SpaceKernelGatewayAppSettingsArgs.
Builder for SpaceOwnershipSettingsArgs.
Builder for SpaceResourceSpecArgs.
A collection of settings that apply to spaces of Amazon SageMaker Studio. These settings are specified when the CreateSpace API is called.
Builder for SpaceSettingsArgs.
Builder for SpaceSharingSettingsArgs.
Builder for SpaceStorageSettingsArgs.
The CodeEditor app settings.
Builder for UserProfileCodeRepositoryArgs.
A custom SageMaker image.
Builder for UserProfileCustomImageArgs.
Properties related to the Amazon Elastic Block Store volume.
Default storage settings for a space.
Builder for UserProfileEfsFileSystemConfigArgs.
Builder for UserProfileIdleSettingsArgs.
The JupyterLab app settings.
The JupyterServer app settings.
The kernel gateway app settings.
Builder for UserProfileResourceSpecArgs.
A collection of settings that configure user interaction with the RStudioServerPro app.
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.
Builder for UserProfileSharingSettingsArgs.
Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
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.
Builder for UserProfileUserSettingsArgs.