Class: Aws::CleanRoomsML::Types::ContainerConfig

Inherits:

Struct

• Object
• Struct
• Aws::CleanRoomsML::Types::ContainerConfig

Includes:

Structure

Defined in:

lib/aws-sdk-cleanroomsml/types.rb

Overview

Provides configuration information for the dockerized container where the model algorithm is stored.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #arguments ⇒ Array<String>

  The arguments for a container used to run a training job.

• #entrypoint ⇒ Array<String>

  The entrypoint script for a Docker container used to run a training job.

• #image_uri ⇒ String

  The registry path of the docker image that contains the algorithm.

• #metric_definitions ⇒ Array<Types::MetricDefinition>

  A list of metric definition objects.

Instance Attribute Details

#arguments ⇒ Array<String>

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].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo-dockerfile.html

Returns:

• (Array<String>)

# File 'lib/aws-sdk-cleanroomsml/types.rb', line 1111

class ContainerConfig < Struct.new(
  :image_uri,
  :entrypoint,
  :arguments,
  :metric_definitions)
  SENSITIVE = []
  include Aws::Structure
end

#entrypoint ⇒ Array<String>

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].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo-dockerfile.html

Returns:

• (Array<String>)

# File 'lib/aws-sdk-cleanroomsml/types.rb', line 1111

class ContainerConfig < Struct.new(
  :image_uri,
  :entrypoint,
  :arguments,
  :metric_definitions)
  SENSITIVE = []
  include Aws::Structure
end

#image_uri ⇒ String

The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports the ‘registry/repository` image path format. For more information about using images in Clean Rooms ML, see the [Sagemaker API reference].

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSpecification.html#sagemaker-Type-AlgorithmSpecification-TrainingImage

Returns:

• (String)

# File 'lib/aws-sdk-cleanroomsml/types.rb', line 1111

class ContainerConfig < Struct.new(
  :image_uri,
  :entrypoint,
  :arguments,
  :metric_definitions)
  SENSITIVE = []
  include Aws::Structure
end

#metric_definitions ⇒ Array<Types::MetricDefinition>

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.

Returns:

• (Array<Types::MetricDefinition>)

# File 'lib/aws-sdk-cleanroomsml/types.rb', line 1111

class ContainerConfig < Struct.new(
  :image_uri,
  :entrypoint,
  :arguments,
  :metric_definitions)
  SENSITIVE = []
  include Aws::Structure
end