Create Configured Model Algorithm
cleanroomsml_create_configured_model_algorithm | R Documentation |
Creates a configured model algorithm using a container image stored in an ECR repository¶
Description¶
Creates a configured model algorithm using a container image stored in an ECR repository.
Usage¶
cleanroomsml_create_configured_model_algorithm(name, description,
roleArn, trainingContainerConfig, inferenceContainerConfig, tags,
kmsKeyArn)
Arguments¶
name |
[required] The name of the configured model algorithm. |
description |
The description of the configured model algorithm. |
roleArn |
[required] The Amazon Resource Name (ARN) of the role that is used to access the repository. |
trainingContainerConfig |
Configuration information for the training container, including entrypoints and arguments. |
inferenceContainerConfig |
Configuration information for the inference container that is used when you run an inference job on a configured model algorithm. |
tags |
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. The following basic restrictions apply to tags:
|
kmsKeyArn |
The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the configured ML model algorithm and associated data. |
Value¶
A list with the following syntax:
list(
configuredModelAlgorithmArn = "string"
)
Request syntax¶
svc$create_configured_model_algorithm(
name = "string",
description = "string",
roleArn = "string",
trainingContainerConfig = list(
imageUri = "string",
entrypoint = list(
"string"
),
arguments = list(
"string"
),
metricDefinitions = list(
list(
name = "string",
regex = "string"
)
)
),
inferenceContainerConfig = list(
imageUri = "string"
),
tags = list(
"string"
),
kmsKeyArn = "string"
)