sagemaker/aws.sdk.kotlin.services.sagemaker.model/ModelPackageContainerDefinition/Builder

Builder

class Builder

Properties

additionalS3DataSource

var additionalS3DataSource: AdditionalS3DataSource?

The additional data source that is used during inference in the Docker container for your model package.

containerHostname

var containerHostname: String?

The DNS host name for the Docker container.

environment

var environment: Map<String, String>?

The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

framework

var framework: String?

The machine learning framework of the model package container image.

frameworkVersion

var frameworkVersion: String?

The framework version of the Model Package Container Image.

image

var image: String?

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

imageDigest

var imageDigest: String?

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

modelDataUrl

var modelDataUrl: 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).

modelInput

var modelInput: ModelInput?

A structure with Model Input details.

nearestModelName

var nearestModelName: String?

The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.

productId

var productId: String?

The Amazon Web Services Marketplace product ID of the model package.

Functions

additionalS3DataSource

fun additionalS3DataSource(block: AdditionalS3DataSource.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.AdditionalS3DataSource inside the given block

modelInput

fun modelInput(block: ModelInput.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ModelInput inside the given block