Values.GetTrainedModelInferenceJobResponseSourceReturns information about a trained model inference job.
type nonrec t = {createTime : SyntheticTimestamp_date_time.t option;The time at which the trained model inference job was created.
*)updateTime : SyntheticTimestamp_date_time.t option;The most recent time at which the trained model inference job was updated.
*)trainedModelInferenceJobArn : TrainedModelInferenceJobArn.t option;The Amazon Resource Name (ARN) of the trained model inference job.
*)configuredModelAlgorithmAssociationArn : ConfiguredModelAlgorithmAssociationArn.t
option;The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.
*)name : NameString.t option;The name of the trained model inference job.
*)status : TrainedModelInferenceJobStatus.t option;The status of the trained model inference job.
*)trainedModelArn : TrainedModelArn.t option;The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.
*)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.
*)resourceConfig : InferenceResourceConfig.t option;The resource configuration information for the trained model inference job.
*)outputConfiguration : InferenceOutputConfiguration.t option;The output configuration information for the trained model inference job.
*)membershipIdentifier : UUID.t option;The membership ID of the membership that contains the trained model inference job.
*)dataSource : ModelInferenceDataSource.t option;The data source that was used for the trained model inference job.
*)containerExecutionParameters : InferenceContainerExecutionParameters.t option;The execution parameters for the model inference job container.
*)statusDetails : StatusDetails.t option;description : ResourceDescription.t option;The description of the trained model inference job.
*)inferenceContainerImageDigest : String_.t option;Information about the training container image.
*)environment : InferenceEnvironmentMap.t option;The environment variables to set in the Docker container.
*)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.
*)metricsStatus : MetricsStatus.t option;The metrics status for the trained model inference job.
*)metricsStatusDetails : String_.t option;Details about the metrics status for the trained model inference job.
*)logsStatus : LogsStatus.t option;The logs status for the trained model inference job.
*)logsStatusDetails : String_.t option;Details about the logs status for the trained model inference job.
*)}type nonrec error = [ | `AccessDeniedException of AccessDeniedException.t| `ResourceNotFoundException of ResourceNotFoundException.t| `ThrottlingException of ThrottlingException.t| `ValidationException of ValidationException.t| `Unknown_operation_error of string * string option ]val make :
?createTime:SyntheticTimestamp_date_time.t ->
?updateTime:SyntheticTimestamp_date_time.t ->
?trainedModelInferenceJobArn:TrainedModelInferenceJobArn.t ->
?configuredModelAlgorithmAssociationArn:
ConfiguredModelAlgorithmAssociationArn.t ->
?name:NameString.t ->
?status:TrainedModelInferenceJobStatus.t ->
?trainedModelArn:TrainedModelArn.t ->
?trainedModelVersionIdentifier:UUID.t ->
?resourceConfig:InferenceResourceConfig.t ->
?outputConfiguration:InferenceOutputConfiguration.t ->
?membershipIdentifier:UUID.t ->
?dataSource:ModelInferenceDataSource.t ->
?containerExecutionParameters:InferenceContainerExecutionParameters.t ->
?statusDetails:StatusDetails.t ->
?description:ResourceDescription.t ->
?inferenceContainerImageDigest:String_.t ->
?environment:InferenceEnvironmentMap.t ->
?kmsKeyArn:KmsKeyArn.t ->
?metricsStatus:MetricsStatus.t ->
?metricsStatusDetails:String_.t ->
?logsStatus:LogsStatus.t ->
?logsStatusDetails:String_.t ->
?tags:TagMap.t ->
unit ->
tval 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 ]val 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 ]val 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 ]