createConfiguredModelAlgorithm method

Future<CreateConfiguredModelAlgorithmResponse> createConfiguredModelAlgorithm({ required String name, required String roleArn, String? description, InferenceContainerConfig? inferenceContainerConfig, String? kmsKeyArn, Map<String, String>? tags, ContainerConfig? trainingContainerConfig, })

Creates a configured model algorithm using a container image stored in an ECR repository.

May throw AccessDeniedException. May throw ConflictException. May throw ServiceQuotaExceededException. May throw ValidationException.

Parameter name : The name of the configured model algorithm.

Parameter roleArn : The Amazon Resource Name (ARN) of the role that is used to access the repository.

Parameter description : The description of the configured model algorithm.

Parameter inferenceContainerConfig : Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.

Parameter 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.

Parameter 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:

• Maximum number of tags per resource - 50.
• For each resource, each tag key must be unique, and each tag key can have only one value.
• Maximum key length - 128 Unicode characters in UTF-8.
• Maximum value length - 256 Unicode characters in UTF-8.
• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
• Tag keys and values are case sensitive.
• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Parameter trainingContainerConfig : Configuration information for the training container, including entrypoints and arguments.

Implementation

Future<CreateConfiguredModelAlgorithmResponse>
    createConfiguredModelAlgorithm({
  required String name,
  required String roleArn,
  String? description,
  InferenceContainerConfig? inferenceContainerConfig,
  String? kmsKeyArn,
  Map<String, String>? tags,
  ContainerConfig? trainingContainerConfig,
}) async {
  final $payload = <String, dynamic>{
    'name': name,
    'roleArn': roleArn,
    if (description != null) 'description': description,
    if (inferenceContainerConfig != null)
      'inferenceContainerConfig': inferenceContainerConfig,
    if (kmsKeyArn != null) 'kmsKeyArn': kmsKeyArn,
    if (tags != null) 'tags': tags,
    if (trainingContainerConfig != null)
      'trainingContainerConfig': trainingContainerConfig,
  };
  final response = await _protocol.send(
    payload: $payload,
    method: 'POST',
    requestUri: '/configured-model-algorithms',
    exceptionFnMap: _exceptionFns,
  );
  return CreateConfiguredModelAlgorithmResponse.fromJson(response);
}