Solution

When performAutoML is true, specifies the best recipe found.

The creation date and time (in Unix time) of the solution.

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

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.

The date and time (in Unix time) that the solution was last updated.

Describes the latest version of the solution, including the status and the ARN.

The name of the solution.

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.

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

The ARN of the recipe used to create the solution. This is required when performAutoML is false.

The ARN of the solution.

Describes the configuration properties for the solution.

The status of the solution.