CmdID / aws / aws sagemaker
aws sagemaker create-model-package
Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. AWS CLI reference
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--additional-inference-specificationsAn array of additional Inference Specification objects.--certify-for-marketplaceWhether to certify the model package for listing on Amazon Web Services Marketplace.--client-tokenA unique token that guarantees that the call to this API is idempotent.--customer-metadata-propertiesThe metadata properties associated with the model package versions.--domainThe machine learning domain of your model package and its components.--drift-check-baselinesRepresents the drift check baselines that can be used when the model monitor is set using the model package.--inference-specificationSpecifies details about inference jobs that you can run with models based on this model package, including the following information: The Amazon ECR paths of containers that contain the inference code and model artifacts.--managed-storage-typeThe storage type of the model package.--metadata-propertiesMetadata properties of the tracking entity, trial, or trial component.--model-approval-statusWhether the model is approved for deployment.--model-cardThe model card associated with the model package.--model-life-cycleA structure describing the current state of the model in its life cycle.--model-metricsA structure that contains model metrics reports.--model-package-descriptionA description of the model package.--model-package-group-nameThe name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.--model-package-nameThe name of the model package.--model-package-registration-typeThe package registration type of the model package input.--sample-payload-urlThe Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.--security-configThe KMS Key ID (KMSKeyId) used for encryption of model package information.--skip-model-validationIndicates if you want to skip model validation.--source-algorithm-specificationDetails about the algorithm that was used to create the model package.--source-uriThe URI of the source for the model package.--tagsA list of key value pairs associated with the model.--taskThe machine learning task your model package accomplishes.--validation-specificationSpecifies configurations for one or more transform jobs that SageMaker runs to test the model package.