Builder

The Amazon S3 location and configuration for storing inference request and response data.

A description for the inference experiment.

The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKey can be any of the following formats:

An array of ModelVariantConfig objects. There is one for each variant in the inference experiment. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.

The name for the inference experiment.

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

The duration for which you want the inference experiment to run. If you don't specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.

The type of the inference experiment that you want to run. The following types of experiments are possible:

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

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

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