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pub struct Solution {
Show 13 fields pub auto_ml_result: Option<AutoMLResult>, pub creation_date_time: Option<f64>, pub dataset_group_arn: Option<String>, pub event_type: Option<String>, pub last_updated_date_time: Option<f64>, pub latest_solution_version: Option<SolutionVersionSummary>, pub name: Option<String>, pub perform_auto_ml: Option<bool>, pub perform_hpo: Option<bool>, pub recipe_arn: Option<String>, pub solution_arn: Option<String>, pub solution_config: Option<SolutionConfig>, pub status: Option<String>,
}
Expand description

An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.

Fields

auto_ml_result: Option<AutoMLResult>

When performAutoML is true, specifies the best recipe found.

creation_date_time: Option<f64>

The creation date and time (in Unix time) of the solution.

dataset_group_arn: Option<String>

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

event_type: Option<String>

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

last_updated_date_time: Option<f64>

The date and time (in Unix time) that the solution was last updated.

latest_solution_version: Option<SolutionVersionSummary>

Describes the latest version of the solution, including the status and the ARN.

name: Option<String>

The name of the solution.

perform_auto_ml: Option<bool>

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

perform_hpo: Option<bool>

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

recipe_arn: Option<String>

The ARN of the recipe used to create the solution.

solution_arn: Option<String>

The ARN of the solution.

solution_config: Option<SolutionConfig>

Describes the configuration properties for the solution.

status: Option<String>

The status of the solution.

A solution can be in one of the following states:

  • CREATE PENDING > CREATE INPROGRESS > ACTIVE -or- CREATE FAILED

  • DELETE PENDING > DELETE INPROGRESS

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