View source: R/cleanroomsml_operations.R
cleanroomsml_create_configured_model_algorithm | R Documentation |
Creates a configured model algorithm using a container image stored in an ECR repository.
See https://www.paws-r-sdk.com/docs/cleanroomsml_create_configured_model_algorithm/ for full documentation.
cleanroomsml_create_configured_model_algorithm(
name,
description = NULL,
roleArn,
trainingContainerConfig = NULL,
inferenceContainerConfig = NULL,
tags = NULL,
kmsKeyArn = NULL
)
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. |
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