| Package | Description |
|---|---|
| com.amazonaws.services.personalize |
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to
customers.
|
| com.amazonaws.services.personalize.model |
| Modifier and Type | Method and Description |
|---|---|
Future<CreateRecommenderResult> |
AbstractAmazonPersonalizeAsync.createRecommenderAsync(CreateRecommenderRequest request,
AsyncHandler<CreateRecommenderRequest,CreateRecommenderResult> asyncHandler) |
Future<CreateRecommenderResult> |
AmazonPersonalizeAsync.createRecommenderAsync(CreateRecommenderRequest createRecommenderRequest,
AsyncHandler<CreateRecommenderRequest,CreateRecommenderResult> asyncHandler)
Creates a recommender with the recipe (a Domain dataset group use case) you specify.
|
Future<CreateRecommenderResult> |
AmazonPersonalizeAsyncClient.createRecommenderAsync(CreateRecommenderRequest request,
AsyncHandler<CreateRecommenderRequest,CreateRecommenderResult> asyncHandler) |
| Modifier and Type | Method and Description |
|---|---|
CreateRecommenderRequest |
CreateRecommenderRequest.clone() |
CreateRecommenderRequest |
CreateRecommenderRequest.withDatasetGroupArn(String datasetGroupArn)
The Amazon Resource Name (ARN) of the destination domain dataset group for the recommender.
|
CreateRecommenderRequest |
CreateRecommenderRequest.withName(String name)
The name of the recommender.
|
CreateRecommenderRequest |
CreateRecommenderRequest.withRecipeArn(String recipeArn)
The Amazon Resource Name (ARN) of the recipe that the recommender will use.
|
CreateRecommenderRequest |
CreateRecommenderRequest.withRecommenderConfig(RecommenderConfig recommenderConfig)
The configuration details of the recommender.
|
CreateRecommenderRequest |
CreateRecommenderRequest.withTags(Collection<Tag> tags)
A list of tags to apply
to the recommender.
|
CreateRecommenderRequest |
CreateRecommenderRequest.withTags(Tag... tags)
A list of tags to apply
to the recommender.
|
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