Model Container
data class ModelContainer(val containerHostname: String? = null, val environment: Map<String, String>? = null, val image: String? = null, val imageConfig: ModelContainerImageConfig? = null, val mode: String? = null, val modelDataSource: ModelContainerModelDataSource? = null, val modelDataUrl: String? = null, val modelPackageName: String? = null)
Constructors
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fun ModelContainer(containerHostname: String? = null, environment: Map<String, String>? = null, image: String? = null, imageConfig: ModelContainerImageConfig? = null, mode: String? = null, modelDataSource: ModelContainerModelDataSource? = null, modelDataUrl: String? = null, modelPackageName: String? = null)
Types
Properties
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Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.
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The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.
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