Get membershipsmembershipidentifiertrained model inference jobstrainedmodelinferencejobarn

v1

latestOpenAPI 3.0.0Apache 2.0 License2026-07-1459348326.0 KB

Returns information about a trained model inference job.

get/memberships/{membershipIdentifier}/trained-model-inference-jobs/{trainedModelInferenceJobArn}

Path parameters

membershipIdentifierstring required

Provides the membership ID of the membership that contains the trained model inference job that you are interested in.

trainedModelInferenceJobArnstring required

Provides the Amazon Resource Name (ARN) of the trained model inference job that you are interested in.

Response

Success

createTimestring date-time required

The time at which the trained model inference job was created.

updateTimestring date-time required

The most recent time at which the trained model inference job was updated.

trainedModelInferenceJobArnstring required

The Amazon Resource Name (ARN) of the trained model inference job.

configuredModelAlgorithmAssociationArnstring

The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.

namestring required

The name of the trained model inference job.

The status of the trained model inference job.

trainedModelArnstring required

The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.

trainedModelVersionIdentifierstring

The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.

membershipIdentifierstring required

The membership ID of the membership that contains the trained model inference job.

descriptionstring

The description of the trained model inference job.

inferenceContainerImageDigeststring

Information about the training container image.

environmentobject

The environment variables to set in the Docker container.

kmsKeyArnstring

The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.

metricsStatus'PUBLISH_SUCCEEDED' | 'PUBLISH_FAILED'

The metrics status for the trained model inference job.

metricsStatusDetailsstring

Details about the metrics status for the trained model inference job.

logsStatus'PUBLISH_SUCCEEDED' | 'PUBLISH_FAILED'

The logs status for the trained model inference job.

logsStatusDetailsstring

Details about the logs status for the trained model inference job.

tagsobject

The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. The following basic restrictions apply to tags: <ul> <li> Maximum number of tags per resource - 50. </li> <li> For each resource, each tag key must be unique, and each tag key can have only one value. </li> <li> Maximum key length - 128 Unicode characters in UTF-8. </li> <li> Maximum value length - 256 Unicode characters in UTF-8. </li> <li> If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @. </li> <li> Tag keys and values are case sensitive. </li> <li> Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. </li> </ul>

mlModelInferencePayerAccountIdstring

The account ID of the member that is responsible for paying for model inference costs.