Personalize Solution

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Personalize Solution in AWS is a resource that represents a machine learning solution created with Amazon Personalize. A solution is the trained model that uses your datasets and recipes to generate personalized recommendations. It contains information about the training configuration, status, metrics, and versioning of the solution. This resource is central to deploying recommendation systems tailored to user behavior and item data.

aws.personalize_solution

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
auto_ml_result	core	json	When performAutoML is true, specifies the best recipe found.
creation_date_time	core	timestamp	The creation date and time (in Unix time) of the solution.
dataset_group_arn	core	string	The Amazon Resource Name (ARN) of the dataset group that provides the training data.
event_type	core	string	The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.
last_updated_date_time	core	timestamp	The date and time (in Unix time) that the solution was last updated.
latest_solution_update	core	json	Provides a summary of the latest updates to the solution.
latest_solution_version	core	json	Describes the latest version of the solution, including the status and the ARN.
name	core	string	The name of the solution.
perform_auto_ml	core	bool	We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case. When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.
perform_auto_training	core	bool	Specifies whether the solution automatically creates solution versions. The default is True and the solution automatically creates new solution versions every 7 days. For more information about auto training, see Creating and configuring a solution.
perform_hpo	core	bool	Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
recipe_arn	core	string	The ARN of the recipe used to create the solution. This is required when performAutoML is false.
solution_arn	core	string	The ARN of the solution.
solution_config	core	json	Describes the configuration properties for the solution.
status	core	string	The status of the solution. A solution can be in one of the following states: CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED DELETE PENDING > DELETE IN_PROGRESS
tags	core	hstore