Creating and configuring a solution
After you finish importing data, you are ready to create a solution. A solution refers to the combination of an Amazon Personalize recipe, customized training parameters, and one or more solution versions. A solution version refers to a trained machine learning model.
By default, all new solutions use automatic training to create a new solution version every 7 days. Automatic training occurs only if you imported bulk or real-time interaction data since the last training. This includes item interactions or, for solutions that use the Next-Best-Action recipe, action interactions data. Automatic training continues until you delete the solution. For more information, see Configuring automatic training.
If you have an existing solution, you can use the Amazon Personalize console to clone the solution. When you clone a solution, you can use the configuration of the existing solution as a starting point, such as the recipe and hyperparameters, and make any changes. For more information, see Cloning a solution (console).
You can create and configure a solution by using the console, AWS Command Line Interface (AWS CLI), or AWS SDKs. After you create a solution, you can view its configuration details on the solution's details page of the Amazon Personalize console, or with the DescribeSolution operation.
After you create a solution, you can’t change its configuration. By default, all new solutions use automatic training. With automatic training, you incur training costs while
your solution is active. To avoid unnecessary costs, make sure to delete the solution when you are finished. For information about training
costs, see Amazon Personalize pricing
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