Module Values.GetTrainedModelInferenceJobResponseSource

Returns information about a trained model inference job.

Sourcetype nonrec t = {
  1. createTime : SyntheticTimestamp_date_time.t option;
    (*

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

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

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

    *)
  3. trainedModelInferenceJobArn : TrainedModelInferenceJobArn.t option;
    (*

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

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

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

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

    The name of the trained model inference job.

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

    The status of the trained model inference job.

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

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

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

    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.

    *)
  9. resourceConfig : InferenceResourceConfig.t option;
    (*

    The resource configuration information for the trained model inference job.

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

    The output configuration information for the trained model inference job.

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

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

    *)
  12. dataSource : ModelInferenceDataSource.t option;
    (*

    The data source that was used for the trained model inference job.

    *)
  13. containerExecutionParameters : InferenceContainerExecutionParameters.t option;
    (*

    The execution parameters for the model inference job container.

    *)
  14. statusDetails : StatusDetails.t option;
  15. description : ResourceDescription.t option;
    (*

    The description of the trained model inference job.

    *)
  16. inferenceContainerImageDigest : String_.t option;
    (*

    Information about the training container image.

    *)
  17. environment : InferenceEnvironmentMap.t option;
    (*

    The environment variables to set in the Docker container.

    *)
  18. kmsKeyArn : KmsKeyArn.t option;
    (*

    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.

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

    The metrics status for the trained model inference job.

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

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

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

    The logs status for the trained model inference job.

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

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

    *)
  23. tags : TagMap.t option;
    (*

    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: Maximum number of tags per resource - 50. For each resource, each tag key must be unique, and each tag key can have only one value. Maximum key length - 128 Unicode characters in UTF-8. Maximum value length - 256 Unicode characters in UTF-8. 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: + - = . _ : / @. Tag keys and values are case sensitive. 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.

    *)
}
Sourcetype nonrec error = [
  1. | `AccessDeniedException of AccessDeniedException.t
  2. | `ResourceNotFoundException of ResourceNotFoundException.t
  3. | `ThrottlingException of ThrottlingException.t
  4. | `ValidationException of ValidationException.t
  5. | `Unknown_operation_error of string * string option
]
Sourceval make : ?createTime:??? -> ?updateTime:??? -> ?trainedModelInferenceJobArn:??? -> ?configuredModelAlgorithmAssociationArn:??? -> ?name:??? -> ?status:??? -> ?trainedModelArn:??? -> ?trainedModelVersionIdentifier:??? -> ?resourceConfig:??? -> ?outputConfiguration:??? -> ?membershipIdentifier:??? -> ?dataSource:??? -> ?containerExecutionParameters:??? -> ?statusDetails:??? -> ?description:??? -> ?inferenceContainerImageDigest:??? -> ?environment:??? -> ?kmsKeyArn:??? -> ?metricsStatus:??? -> ?metricsStatusDetails:??? -> ?logsStatus:??? -> ?logsStatusDetails:??? -> ?tags:??? -> unit -> t
Sourceval error_of_json : string -> Yojson.Safe.t -> [> `AccessDeniedException of AccessDeniedException.t | `ResourceNotFoundException of ResourceNotFoundException.t | `ThrottlingException of ThrottlingException.t | `Unknown_operation_error of string * string option | `ValidationException of ValidationException.t ]
Sourceval error_of_xml : string -> Awso.Xml.t -> [> `AccessDeniedException of AccessDeniedException.t | `ResourceNotFoundException of ResourceNotFoundException.t | `ThrottlingException of ThrottlingException.t | `Unknown_operation_error of string * string option | `ValidationException of ValidationException.t ]
Sourceval error_to_json : error -> Yojson.Safe.t
Sourceval to_value : t -> [> `Structure of (string * [> `Enum of string | `Map of ([> `String of InferenceEnvironmentMapKeyString.t ] * [> `String of InferenceEnvironmentMapValueString.t ]) list | `String of TrainedModelInferenceJobArn.t | `Structure of (string * [> `Enum of string | `Integer of InferenceResourceConfigInstanceCountInteger.t | `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