Builder
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.
The model card associated with the model package. Since ModelPackageModelCard
is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard
. The ModelPackageModelCard
schema does not include model_package_details
, and model_overview
is composed of the model_creator
and model_artifact
properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
A structure describing the current state of the model in its life cycle.
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 package. The name can be as follows:
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).
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.
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.
Functions
construct an aws.sdk.kotlin.services.sagemaker.model.UserContext inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.DriftCheckBaselines inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.InferenceSpecification inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.UserContext inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.MetadataProperties inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelPackageModelCard inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelLifeCycle inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelMetrics inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelPackageStatusDetails inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelPackageSecurityConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.SourceAlgorithmSpecification inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelPackageValidationSpecification inside the given block