sagemaker_create_algorithm {paws.machine.learning} | R Documentation |
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace
Description
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
See https://www.paws-r-sdk.com/docs/sagemaker_create_algorithm/ for full documentation.
Usage
sagemaker_create_algorithm(
AlgorithmName,
AlgorithmDescription = NULL,
TrainingSpecification,
InferenceSpecification = NULL,
ValidationSpecification = NULL,
CertifyForMarketplace = NULL,
Tags = NULL
)
Arguments
AlgorithmName |
[required] The name of the algorithm. |
AlgorithmDescription |
A description of the algorithm. |
TrainingSpecification |
[required] Specifies details about training jobs run by this algorithm, including the following:
|
InferenceSpecification |
Specifies details about inference jobs that the algorithm runs, including the following:
|
ValidationSpecification |
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code. |
CertifyForMarketplace |
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace. |
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. |