Smaws_Client_Personalize.UpdateRecommenderUpdates 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 DescribeRecommender operation.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `InvalidInputException of Types.invalid_input_exception
| `ResourceInUseException of Types.resource_in_use_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.update_recommender_request ->
(Types.update_recommender_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `InvalidInputException of Types.invalid_input_exception
| `ResourceInUseException of Types.resource_in_use_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.update_recommender_request ->
(Types.update_recommender_response Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `InvalidInputException of Types.invalid_input_exception
| `ResourceInUseException of Types.resource_in_use_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ]
* Smaws_Lib.Response.metadata)
Stdlib.result