NAME

Paws::Personalize::SolutionVersion

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::Personalize::SolutionVersion object:

  $service_obj->Method(Att1 => { CreationDateTime => $value, ..., TunedHPOParams => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::Personalize::SolutionVersion object:

  $result = $service_obj->Method(...);
  $result->Att1->CreationDateTime

DESCRIPTION

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

ATTRIBUTES

CreationDateTime => Str

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

DatasetGroupArn => Str

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

EventType => Str

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

FailureReason => Str

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

LastUpdatedDateTime => Str

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

PerformAutoML => Bool

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

PerformHPO => Bool

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

RecipeArn => Str

The ARN of the recipe used in the solution.

SolutionConfig => Paws::Personalize::SolutionConfig

Describes the configuration properties for the solution.

Status => Str

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
CREATE STOPPING
CREATE STOPPED

TrainingHours => Num

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.

The scope of training to be performed when creating 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 data that has changed in comparison to the input solution. Choose "UPDATE" when you want to incrementally update your solution version instead of creating an entirely new one.

The "UPDATE" option can only be used when you already have an active solution version created from the input solution using the "FULL" option and the input solution was trained with the User-Personalization (https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html) recipe or the HRNN-Coldstart (https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn-coldstart.html) recipe.

TunedHPOParams => Paws::Personalize::TunedHPOParams

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

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>