SageMaker Algorithm

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SageMaker Algorithm in AWS represents a reusable machine learning algorithm that can be used to train models or perform inference within Amazon SageMaker. It provides details about the algorithm, such as its name, description, training and inference specifications, and supported input and output formats. This resource allows you to manage and reuse algorithms across multiple training jobs and endpoints, simplifying the process of building and deploying machine learning solutions.

aws.sagemaker_algorithm

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
algorithm_arn	core	string	The Amazon Resource Name (ARN) of the algorithm.
algorithm_description	core	string	A brief summary about the algorithm.
algorithm_name	core	string	The name of the algorithm being described.
algorithm_status	core	string	The current status of the algorithm.
algorithm_status_details	core	json	Details about the current status of the algorithm.
certify_for_marketplace	core	bool	Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
creation_time	core	timestamp	A timestamp specifying when the algorithm was created.
inference_specification	core	json	Details about inference jobs that the algorithm runs.
product_id	core	string	The product identifier of the algorithm.
tags	core	hstore
training_specification	core	json	Details about training jobs run by this algorithm.
validation_specification	core	json	Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.