Class: Aws::Personalize::Types::Solution

Inherits:

Struct

• Object
• Struct
• Aws::Personalize::Types::Solution

Defined in:

(unknown)

Overview

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

Returned by:

• DescribeSolutionResponse#solution

See Also:

• AWS API Documentation

Instance Attribute Summary

• #auto_ml_result ⇒ Types::AutoMLResult

  When performAutoML is true, specifies the best recipe found.

• #creation_date_time ⇒ Time

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

• #dataset_group_arn ⇒ String

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

• #event_type ⇒ String

  The event type (for example, \'click\' or \'like\') that is used for training the model.

• #last_updated_date_time ⇒ Time

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

• #latest_solution_version ⇒ Types::SolutionVersionSummary

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

• #name ⇒ String

  The name of the solution.

• #perform_auto_ml ⇒ Boolean

  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).

• #perform_hpo ⇒ Boolean

  Whether to perform hyperparameter optimization (HPO) on the chosen recipe.

• #recipe_arn ⇒ String

  The ARN of the recipe used to create the solution.

• #solution_arn ⇒ String

  The ARN of the solution.

• #solution_config ⇒ Types::SolutionConfig

  Describes the configuration properties for the solution.

• #status ⇒ String

  The status of the solution.

Instance Attribute Details

#auto_ml_result ⇒ Types::AutoMLResult

When performAutoML is true, specifies the best recipe found.

Returns:

• (Types::AutoMLResult) —

  When performAutoML is true, specifies the best recipe found.

#creation_date_time ⇒ Time

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

Returns:

• (Time) —

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

#dataset_group_arn ⇒ String

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

Returns:

• (String) —

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

#event_type ⇒ String

The event type (for example, \'click\' or \'like\') that is used for training the model.

Returns:

• (String) —

  The event type (for example, \'click\' or \'like\') that is used for training the model.

#last_updated_date_time ⇒ Time

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

Returns:

• (Time) —

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

#latest_solution_version ⇒ Types::SolutionVersionSummary

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

Returns:

• (Types::SolutionVersionSummary) —

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

#name ⇒ String

The name of the solution.

Returns:

• (String) —

  The name of the solution.

#perform_auto_ml ⇒ Boolean

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.

Returns:

• (Boolean) —

  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).

#perform_hpo ⇒ Boolean

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

Returns:

• (Boolean) —

  Whether to perform hyperparameter optimization (HPO) on the chosen recipe.

#recipe_arn ⇒ String

The ARN of the recipe used to create the solution.

Returns:

• (String) —

  The ARN of the recipe used to create the solution.

#solution_arn ⇒ String

The ARN of the solution.

Returns:

• (String) —

  The ARN of the solution.

#solution_config ⇒ Types::SolutionConfig

Describes the configuration properties for the solution.

Returns:

• (Types::SolutionConfig) —

  Describes the configuration properties for the solution.

#status ⇒ String

The status of the solution.

A solution can be in one of the following states:

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

• DELETE PENDING > DELETE IN_PROGRESS

Returns:

• (String) —

  The status of the solution.