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Amazon SageMaker Service Update: This release updates the provisionin…
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…g artifact ID to an optional parameter in CreateProject API. The provisioning artifact ID defaults to the latest provisioning artifact ID of the product if you don't provide one.
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AWS committed Oct 14, 2021
1 parent 4a6f5c4 commit 7ee78b6
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{
"type": "feature",
"category": "Amazon SageMaker Service",
"contributor": "",
"description": "This release updates the provisioning artifact ID to an optional parameter in CreateProject API. The provisioning artifact ID defaults to the latest provisioning artifact ID of the product if you don't provide one."
}
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},
"ServiceCatalogProvisioningDetails":{
"shape":"ServiceCatalogProvisioningDetails",
"documentation":"<p>The product ID and provisioning artifact ID to provision a service catalog. For information, see <a href=\"https://docs.aws.amazon.com/servicecatalog/latest/adminguide/introduction.html\">What is Amazon Web Services Service Catalog</a>.</p>"
"documentation":"<p>The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don't provide the provisioning artifact ID. For more information, see <a href=\"https://docs.aws.amazon.com/servicecatalog/latest/adminguide/introduction.html\">What is Amazon Web Services Service Catalog</a>.</p>"
},
"Tags":{
"shape":"TagList",
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"documentation":"<p>The path of the S3 object that contains the model artifacts. For example, <code>s3://bucket-name/keynameprefix/model.tar.gz</code>.</p>"
}
},
"documentation":"<p>Provides information about the location that is configured for storing model artifacts. </p> <p>Model artifacts are the output that results from training a model, and typically consist of trained parameters, a model defintion that describes how to compute inferences, and other metadata.</p>"
"documentation":"<p>Provides information about the location that is configured for storing model artifacts. </p> <p>Model artifacts are the output that results from training a model, and typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata.</p>"
},
"ModelBiasAppSpecification":{
"type":"structure",
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},
"ServiceCatalogProvisioningDetails":{
"type":"structure",
"required":[
"ProductId",
"ProvisioningArtifactId"
],
"required":["ProductId"],
"members":{
"ProductId":{
"shape":"ServiceCatalogEntityId",
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