ModelPackage
A versioned model that can be deployed for SageMaker inference.
Types
Properties
An array of additional Inference Specification objects.
A description provided when the model approval is set.
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
The time that the model package was created.
The metadata properties for the model package.
Represents the drift check baselines that can be used when the model monitor is set using the model package.
Defines how to perform inference generation after a training job is run.
Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
The last time the model package was modified.
Metadata properties of the tracking entity, trial, or trial component.
The approval status of the model. This can be one of the following values.
Metrics for the model.
The Amazon Resource Name (ARN) of the model package.
The description of the model package.
The model group to which the model belongs.
The name of the model.
The status of the model package. This can be one of the following values.
Specifies the validation and image scan statuses of the model package.
The version number of a versioned model.
The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
Indicates if you want to skip model validation.
A list of algorithms that were used to create a model package.
A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
Specifies batch transform jobs that SageMaker runs to validate your model package.