personalize_update_recommender: Updates the recommender to modify the recommender...

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

Updates the recommender to modify the recommender configuration

Description

Updates the recommender to modify the recommender configuration. If you update the recommender to modify the columns used in training, Amazon Personalize automatically starts a full retraining of the models backing your recommender. While the update completes, you can still get recommendations from the recommender. The recommender uses the previous configuration until the update completes. To track the status of this update, use the latestRecommenderUpdate returned in the describe_recommender operation.

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

Usage

personalize_update_recommender(recommenderArn, recommenderConfig)

Arguments

recommenderArn	[required] The Amazon Resource Name (ARN) of the recommender to modify.
recommenderConfig	[required] The configuration details of the recommender.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.