InferenceExperimentArgs

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

The description of the inference experiment.

The desired state of the experiment after starting or stopping operation.

The name of the endpoint.

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.

An array of ModelVariantConfig objects. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.

The name for the inference experiment.

The Amazon Resource Name (ARN) of an 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 the inference experiment ran or will run. The maximum duration that you can set for an inference experiment is 30 days.

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

The error message or client-specified reason from the StopInferenceExperiment API, that explains the status of the inference experiment.

An array of key-value pairs to apply to this resource.

The type of the inference experiment that you want to run.