You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.

Class: Aws::Personalize::Types::SolutionVersion

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

An object that provides information about a specific version of a Solution.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#creation_date_time ⇒ Time

The date and time (in Unix time) that this version of the solution was created.

Returns:

  • (Time) —

    The date and time (in Unix time) that this version of the solution was created.

#dataset_group_arn ⇒ String

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

Returns:

  • (String) —

    The Amazon Resource Name (ARN) of the dataset group providing 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.

#failure_reason ⇒ String

If training a solution version fails, the reason for the failure.

Returns:

  • (String) —

    If training a solution version fails, the reason for the failure.

#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.

#perform_auto_ml ⇒ Boolean

When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

Returns:

  • (Boolean) —

    When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration.

#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 in the solution.

Returns:

  • (String) —

    The ARN of the recipe used in 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:

#solution_version_arn ⇒ String

The ARN of the solution version.

Returns:

  • (String) —

    The ARN of the solution version.

#status ⇒ String

The status of the solution version.

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

  • CREATE PENDING

  • CREATE IN_PROGRESS

  • ACTIVE

  • CREATE FAILED

Returns:

  • (String) —

    The status of the solution version.

#training_hours ⇒ Float

The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

Returns:

  • (Float) —

    The time used to train the model.

#training_mode ⇒ String

The scope of training used to create the solution version. The FULL option trains the solution version based on the entirety of the input solution\'s training data, while the UPDATE option processes only the training data that has changed since the creation of the last solution version. Choose UPDATE when you want to start recommending items added to the dataset without retraining the model.

The UPDATE option can only be used after you\'ve created a solution version with the FULL option and the training solution uses the native-recipe-hrnn-coldstart.

Possible values:

  • FULL
  • UPDATE

Returns:

  • (String) —

    The scope of training used to create the solution version.

#tuned_hpo_params ⇒ Types::TunedHPOParams

If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

Returns:

  • (Types::TunedHPOParams) —

    If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.