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pub struct ModelPackageContainerDefinition {
    pub container_hostname: Option<String>,
    pub image: String,
    pub image_digest: Option<String>,
    pub model_data_url: Option<String>,
    pub product_id: Option<String>,
}
Expand description

Describes the Docker container for the model package.

Fields

container_hostname: Option<String>

The DNS host name for the Docker container.

image: String

The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

image_digest: Option<String>

An MD5 hash of the training algorithm that identifies the Docker image used for training.

model_data_url: Option<String>

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the model package.

product_id: Option<String>

The AWS Marketplace product ID of the model package.

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