Values.ContainerConfigSourceProvides configuration information for the dockerized container where the model algorithm is stored.
type nonrec t = {imageUri : AlgorithmImage.t;The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports the registry/repository[:tag] image path format. For more information about using images in Clean Rooms ML, see the Sagemaker API reference.
*)entrypoint : ContainerEntrypoint.t option;The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
*)arguments : ContainerArguments.t option;The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
*)metricDefinitions : MetricDefinitionList.t option;A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.
*)}val make :
?entrypoint:??? ->
?arguments:??? ->
?metricDefinitions:??? ->
imageUri:AlgorithmImage.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `List of
[> `String of ContainerEntrypointString.t
| `Structure of (string * [> `String of MetricName.t ]) list ]
list
| `String of AlgorithmImage.t ])
list ]