Module Values.CollaborationTrainedModelInferenceJobSummarySource

Provides summary information about a trained model inference job in a collaboration.

Sourcetype nonrec t = {
  1. trainedModelInferenceJobArn : TrainedModelInferenceJobArn.t option;
    (*

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

    *)
  2. configuredModelAlgorithmAssociationArn : ConfiguredModelAlgorithmAssociationArn.t option;
    (*

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

    *)
  3. membershipIdentifier : UUID.t option;
    (*

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

    *)
  4. trainedModelArn : TrainedModelArn.t option;
    (*

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

    *)
  5. trainedModelVersionIdentifier : UUID.t option;
    (*

    The version identifier of the trained model that was used for inference in this job.

    *)
  6. collaborationIdentifier : UUID.t option;
    (*

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

    *)
  7. status : TrainedModelInferenceJobStatus.t option;
    (*

    The status of the trained model inference job.

    *)
  8. outputConfiguration : InferenceOutputConfiguration.t option;
    (*

    Returns output configuration information for the trained model inference job.

    *)
  9. name : NameString.t option;
    (*

    The name of the trained model inference job.

    *)
  10. description : ResourceDescription.t option;
    (*

    The description of the trained model inference job.

    *)
  11. metricsStatus : MetricsStatus.t option;
    (*

    the trained model inference job metrics status.

    *)
  12. metricsStatusDetails : String_.t option;
    (*

    Details about the metrics status for trained model inference job.

    *)
  13. logsStatus : LogsStatus.t option;
    (*

    The trained model inference job logs status.

    *)
  14. logsStatusDetails : String_.t option;
    (*

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

    *)
  15. createTime : SyntheticTimestamp_date_time.t option;
    (*

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

    *)
  16. updateTime : SyntheticTimestamp_date_time.t option;
    (*

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

    *)
  17. creatorAccountId : AccountId.t option;
    (*

    The account ID that created the trained model inference job.

    *)
}
Sourceval make : ?trainedModelInferenceJobArn:??? -> ?configuredModelAlgorithmAssociationArn:??? -> ?membershipIdentifier:??? -> ?trainedModelArn:??? -> ?trainedModelVersionIdentifier:??? -> ?collaborationIdentifier:??? -> ?status:??? -> ?outputConfiguration:??? -> ?name:??? -> ?description:??? -> ?metricsStatus:??? -> ?metricsStatusDetails:??? -> ?logsStatus:??? -> ?logsStatusDetails:??? -> ?createTime:??? -> ?updateTime:??? -> ?creatorAccountId:??? -> unit -> t
Sourceval to_value : t -> [> `Structure of (string * [> `Enum of string | `String of TrainedModelInferenceJobArn.t | `Structure of (string * [> `List of [> `Structure of (string * [> `String of AccountId.t ]) list ] list | `String of InferenceOutputConfigurationAcceptString.t ]) list | `Timestamp of SyntheticTimestamp_date_time.t ]) list ]
Sourceval to_query : t -> Awso.Client.Query.t
Sourceval of_xml : Awso.Xml.t -> t
Sourceval of_string : string -> t
Sourceval of_json : Yojson.Safe.t -> t
Sourceval to_json : t -> Yojson.Safe.t