Values_1.ModelQualityAppSpecificationSourceContainer image configuration object for the monitoring job.
type nonrec t = {imageUri : Values_0.ImageUri.t;The address of the container image that the monitoring job runs.
*)containerEntrypoint : Values_0.ContainerEntrypoint.t option;Specifies the entrypoint for a container that the monitoring job runs.
*)containerArguments : Values_0.MonitoringContainerArguments.t option;An array of arguments for the container used to run the monitoring job.
*)recordPreprocessorSourceUri : Values_0.S3Uri.t option;An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
*)postAnalyticsProcessorSourceUri : Values_0.S3Uri.t option;An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
*)problemType : MonitoringProblemType.t option;The machine learning problem type of the model that the monitoring job monitors.
*)environment : Values_0.MonitoringEnvironmentMap.t option;Sets the environment variables in the container that the monitoring job runs.
*)}val make :
?containerEntrypoint:??? ->
?containerArguments:??? ->
?recordPreprocessorSourceUri:??? ->
?postAnalyticsProcessorSourceUri:??? ->
?problemType:??? ->
?environment:??? ->
imageUri:Values_0.ImageUri.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `Enum of string
| `List of [> `String of string ] list
| `Map of ([> `String of string ] * [> `String of string ]) list
| `String of Values_0.ImageUri.t ])
list ]