See: newCreateAlgorithm smart constructor.

Create a value of CreateAlgorithm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationSpecification:CreateAlgorithm', createAlgorithm_validationSpecification - Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

$sel:inferenceSpecification:CreateAlgorithm', createAlgorithm_inferenceSpecification - Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.
• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
• The input and output content formats that the algorithm supports for inference.

$sel:algorithmDescription:CreateAlgorithm', createAlgorithm_algorithmDescription - A description of the algorithm.

$sel:certifyForMarketplace:CreateAlgorithm', createAlgorithm_certifyForMarketplace - Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

$sel:tags:CreateAlgorithm', createAlgorithm_tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

$sel:algorithmName:CreateAlgorithm', createAlgorithm_algorithmName - The name of the algorithm.

$sel:trainingSpecification:CreateAlgorithm', createAlgorithm_trainingSpecification - Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.
• The hyperparameters that the algorithm supports.
• The instance types that the algorithm supports for training.
• Whether the algorithm supports distributed training.
• The metrics that the algorithm emits to Amazon CloudWatch.
• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.
• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
• The input and output content formats that the algorithm supports for inference.

A description of the algorithm.

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

The name of the algorithm.

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.
• The hyperparameters that the algorithm supports.
• The instance types that the algorithm supports for training.
• Whether the algorithm supports distributed training.
• The metrics that the algorithm emits to Amazon CloudWatch.
• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

See: newCreateAlgorithmResponse smart constructor.

Create a value of CreateAlgorithmResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:httpStatus:CreateAlgorithmResponse', createAlgorithmResponse_httpStatus - The response's http status code.

$sel:algorithmArn:CreateAlgorithmResponse', createAlgorithmResponse_algorithmArn - The Amazon Resource Name (ARN) of the new algorithm.

The response's http status code.

The Amazon Resource Name (ARN) of the new algorithm.