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 performAutoML
or
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
.