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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#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
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# File 'lib/aws-sdk-cleanroomsml/types.rb', line 972 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
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# File 'lib/aws-sdk-cleanroomsml/types.rb', line 972 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 supports both ‘registry/repository` and `registry/repositry` image path formats. For more information about using images in Clean Rooms ML, see the [Sagemaker API reference].
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# File 'lib/aws-sdk-cleanroomsml/types.rb', line 972 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.
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# File 'lib/aws-sdk-cleanroomsml/types.rb', line 972 class ContainerConfig < Struct.new( :image_uri, :entrypoint, :arguments, :metric_definitions) SENSITIVE = [] include Aws::Structure end |