Package-level declarations
Types
The instance type that the image version runs on.
The type of deep health check(s) to be performed on the instances in the SageMaker HyperPod cluster instance group.
If node auto-recovery is set to true, faulty nodes will be replaced or rebooted when a failure is detected. If set to false, nodes will be labelled when a fault is detected.
The status of the HyperPod Cluster.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether to upload the results of the monitoring job continuously or after the job completes.
Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided.
The mode of authentication that members use to access the domain.
The flag to enable/disable docker-proxy server
A flag to enable/disable AppLifecycleManagement settings
The instance type that the image version runs on.
Indicates whether the current user has access to the RStudioServerPro app.
The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.
Whether to include the notebook cell output when sharing the notebook. The default is Disabled.
Indicates whether the Studio experience is available to users. If not, users cannot access Studio.
The value type of a feature. Valid values are Integral, Fractional, or String.
Format for the offline store feature group. Iceberg is the optimal format for feature groups shared between offline and online stores.
Throughput mode configuration of the feature group
Unit of ttl configuration
Indicates SageMaker job type compatibility.
Indicates CPU or GPU compatibility.
The availability of the image version specified by the maintainer.
The desired state of the experiment after starting or stopping operation.
The status of the endpoint. For possible values of the status of an endpoint.
The type of the inference experiment that you want to run.
The status of the inference experiment.
The type of the inference experiment that you want to run.
The size of the MLFlow Tracking Server.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether to upload the results of the monitoring job continuously or after the job completes.
Current approval status of model package
Current status of model package
The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
Risk rating of model.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether to upload the results of the monitoring job continuously or after the job completes.
The status of a modelpackage group job.
The approval status of the model package.
The approval status of the model card within your organization.
The S3 Data Source Type
Specifies how the ML model data is prepared.
Specifies the type of ML model data to deploy.
Indicates if you want to skip model validation.
The current status of the model package.
The current status.
If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
The method to use to split the transform job's data files into smaller batches.
A string that determines the number of records included in a single mini-batch.
Defines how to assemble the results of the transform job as a single S3 object.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
The status of the monitoring job.
Whether to upload the results of the monitoring job continuously or after the job completes.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
The status of the monitoring job.
The type of monitoring job.
Whether to upload the results of the monitoring job continuously or after the job completes.
The status of a schedule job.
The status of a project.
The instance type that the image version runs on.
Specifies the sharing type of the space.
The App type that the Lifecycle Configuration is attached to.
A flag to enable/disable AppLifecycleManagement settings
The instance type that the image version runs on.
Indicates whether the current user has access to the RStudioServerPro app.
The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.
Whether to include the notebook cell output when sharing the notebook. The default is Disabled.
Indicates whether the Studio experience is available to users. If not, users cannot access Studio.