PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::Personalize::AutoMLConfig; use Moose; has MetricName => (is => 'ro', isa => 'Str', request_name => 'metricName', traits => ['NameInRequest']); has RecipeList => (is => 'ro', isa => 'ArrayRef[Str|Undef]', request_name => 'recipeList', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::Personalize::AutoMLConfig =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::AutoMLConfig object: $service_obj->Method(Att1 => { MetricName => $value, ..., RecipeList => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Personalize::AutoMLConfig object: $result = $service_obj->Method(...); $result->Att1->MetricName =head1 DESCRIPTION When the solution performs AutoML (C is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution. =head1 ATTRIBUTES =head2 MetricName => Str The metric to optimize. =head2 RecipeList => ArrayRef[Str|Undef] The list of candidate recipes. =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