# Generated by default/object.tt package Paws::Personalize::SolutionConfig; use Moose; has AlgorithmHyperParameters => (is => 'ro', isa => 'Paws::Personalize::HyperParameters', request_name => 'algorithmHyperParameters', traits => ['NameInRequest']); has AutoMLConfig => (is => 'ro', isa => 'Paws::Personalize::AutoMLConfig', request_name => 'autoMLConfig', traits => ['NameInRequest']); has EventValueThreshold => (is => 'ro', isa => 'Str', request_name => 'eventValueThreshold', traits => ['NameInRequest']); has FeatureTransformationParameters => (is => 'ro', isa => 'Paws::Personalize::FeatureTransformationParameters', request_name => 'featureTransformationParameters', traits => ['NameInRequest']); has HpoConfig => (is => 'ro', isa => 'Paws::Personalize::HPOConfig', request_name => 'hpoConfig', traits => ['NameInRequest']); has OptimizationObjective => (is => 'ro', isa => 'Paws::Personalize::OptimizationObjective', request_name => 'optimizationObjective', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::Personalize::SolutionConfig =head1 USAGE This class represents one of two things: =head3 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::SolutionConfig object: $service_obj->Method(Att1 => { AlgorithmHyperParameters => $value, ..., OptimizationObjective => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Personalize::SolutionConfig object: $result = $service_obj->Method(...); $result->Att1->AlgorithmHyperParameters =head1 DESCRIPTION Describes the configuration properties for the solution. =head1 ATTRIBUTES =head2 AlgorithmHyperParameters => L Lists the hyperparameter names and ranges. =head2 AutoMLConfig => L The AutoMLConfig object containing a list of recipes to search when AutoML is performed. =head2 EventValueThreshold => Str Only events with a value greater than or equal to this threshold are used for training a model. =head2 FeatureTransformationParameters => L Lists the feature transformation parameters. =head2 HpoConfig => L Describes the properties for hyperparameter optimization (HPO). =head2 OptimizationObjective => L Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution (https://docs.aws.amazon.com/personalize/latest/dg/optimizing-solution-for-objective.html). =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut