Legacy user personalization recipes
Note
Legacy HRNN recipes are no longer available. This documentation is for reference purposes.
We recommend using the aws-user-personalizaton (User-Personalization) recipe over the legacy HRNN recipes. User-Personalization improves upon and unifies the functionality offered by the HRNN recipes. For more information, see User-Personalization recipe.
The following are legacy USER_PERSONALIZATION recipes.
Using AutoML to choose an HRNN recipe (API only)
Amazon Personalize can automatically choose the most appropriate hierarchical recurrent
neural network (HRNN) recipe based on its analysis of the input data. This option is called
AutoML. To perform AutoML, set the performAutoML parameter to true
when you call the CreateSolution
API.
You can also specify the list of recipes that Amazon Personalize examines to determine the
optimal recipe, based on a metric you specify. In this case, you call the
CreateSolution operation, specify true for the
performAutoML parameter, omit the recipeArn parameter, and include
the solutionConfig parameter, specifying the metricName and
recipeList as part of the autoMLConfig object.
How a recipe is chosen is shown in the following table. Either performAutoMLor
recipeArn must be specified but not both. AutoML is only performed using the HRNN
recipes.
| performAutoML | recipeArn | solutionConfig | Result |
|---|---|---|---|
| true | omit | omitted | Amazon Personalize chooses the recipe |
| true | omit | autoMLConfig: metricName and recipeList
specified |
Amazon Personalize chooses a recipe from the list that optimizes the metric |
| omit | specified | omitted | You specify the recipe |
| omit | specified | specified | You specify the recipe and override the default training properties |
Note
When performAutoML is true, all parameters of the
solutionConfig object are ignored except for autoMLConfig.