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Update Solution

personalize_update_solution R Documentation

Updates an Amazon Personalize solution to use a different automatic training configuration

Description

Updates an Amazon Personalize solution to use a different automatic training configuration. When you update a solution, you can change whether the solution uses automatic training, and you can change the training frequency. For more information about updating a solution, see Updating a solution.

A solution update can be in one of the following states:

CREATE PENDING \ CREATE IN_PROGRESS \ ACTIVE -or- CREATE FAILED

To get the status of a solution update, call the describe_solution API operation and find the status in the latestSolutionUpdate.

Usage

personalize_update_solution(solutionArn, performAutoTraining,
  solutionUpdateConfig)

Arguments

solutionArn

[required] The Amazon Resource Name (ARN) of the solution to update.

performAutoTraining

Whether the solution uses automatic training to create new solution versions (trained models). You can change the training frequency by specifying a schedulingExpression in the AutoTrainingConfig as part of solution configuration.

If you turn on automatic training, the first automatic training starts within one hour after the solution update completes. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information about automatic training, see Configuring automatic training.

After training starts, you can get the solution version's Amazon Resource Name (ARN) with the list_solution_versions API operation. To get its status, use the describe_solution_version.

solutionUpdateConfig

The new configuration details of the solution.

Value

A list with the following syntax: 

list(
  solutionArn = "string"
)

Request syntax

svc$update_solution(
  solutionArn = "string",
  performAutoTraining = TRUE|FALSE,
  solutionUpdateConfig = list(
    autoTrainingConfig = list(
      schedulingExpression = "string"
    )
  )
)