AWS::CleanRoomsML::ConfiguredModelAlgorithm ContainerConfig - AWS CloudFormation

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AWS::CleanRoomsML::ConfiguredModelAlgorithm ContainerConfig

Provides configuration information for the training container, including entrypoints and arguments.

Syntax

To declare this entity in your CloudFormation template, use the following syntax:

JSON

{ "Arguments" : [ String, ... ], "Entrypoint" : [ String, ... ], "ImageUri" : String, "MetricDefinitions" : [ MetricDefinition, ... ] }

YAML

Arguments: - String Entrypoint: - String ImageUri: String MetricDefinitions: - MetricDefinition

Properties

Arguments

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.

Required: No

Type: Array of String

Minimum: 1 | 1

Maximum: 256 | 100

Update requires: Replacement

Entrypoint

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.

Required: No

Type: Array of String

Minimum: 1 | 1

Maximum: 256 | 100

Update requires: Replacement

ImageUri

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.

Required: Yes

Type: String

Pattern: ^.*$

Minimum: 1

Maximum: 255

Update requires: Replacement

MetricDefinitions

A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. AWS Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.

Required: No

Type: Array of MetricDefinition

Minimum: 0

Maximum: 40

Update requires: Replacement