personalize_create_recommender: Creates a recommender with the recipe (a Domain dataset group...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a recommender with the recipe (a Domain dataset group use case) you specify

Description

Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender's Amazon Resource Name (ARN) when you make a GetRecommendations request.

See https://www.paws-r-sdk.com/docs/personalize_create_recommender/ for full documentation.

Usage

personalize_create_recommender(
  name,
  datasetGroupArn,
  recipeArn,
  recommenderConfig = NULL,
  tags = NULL
)

Arguments

name	[required] The name of the recommender.
datasetGroupArn	[required] The Amazon Resource Name (ARN) of the destination domain dataset group for the recommender.
recipeArn	[required] The Amazon Resource Name (ARN) of the recipe that the recommender will use. For a recommender, a recipe is a Domain dataset group use case. Only Domain dataset group use cases can be used to create a recommender. For information about use cases see Choosing recommender use cases.
recommenderConfig	The configuration details of the recommender.
tags	A list of tags to apply to the recommender.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.