Personalize Algorithm

Personalize Algorithm in AWS refers to a custom or predefined machine learning algorithm used within Amazon Personalize to generate personalized recommendations. It defines the logic and training approach behind recommendation models, such as collaborative filtering or deep learning methods. The resource provides details about the algorithm, including its name, ARN, supported features, and training requirements, helping users understand how it can be applied to build tailored recommendation systems.

aws.personalize_algorithm

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
algorithm_arncorestringThe Amazon Resource Name (ARN) of the algorithm.
algorithm_imagecorejsonThe URI of the Docker container for the algorithm image.
creation_date_timecoretimestampThe date and time (in Unix time) that the algorithm was created.
default_hyper_parameter_rangescorejsonSpecifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
default_hyper_parameterscorehstoreSpecifies the default hyperparameters.
default_resource_configcorehstoreSpecifies the default maximum number of training jobs and parallel training jobs.
last_updated_date_timecoretimestampThe date and time (in Unix time) that the algorithm was last updated.
namecorestringThe name of the algorithm.
role_arncorestringThe Amazon Resource Name (ARN) of the role.
tagscorehstore
training_input_modecorestringThe training input mode.