Using AutoML to choose an HRNN recipe (API only) - Amazon Personalize
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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.