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` package Paws::Forecast::GetAccuracyMetricsResponse; use Moose; has AutoMLOverrideStrategy => (is => 'ro', isa => 'Str'); has PredictorEvaluationResults => (is => 'ro', isa => 'ArrayRef[Paws::Forecast::EvaluationResult]'); has _request_id => (is => 'ro', isa => 'Str'); ### main pod documentation begin ### =head1 NAME Paws::Forecast::GetAccuracyMetricsResponse =head1 ATTRIBUTES =head2 AutoMLOverrideStrategy => Str The AutoML strategy used to train the predictor. Unless C is specified, the AutoML strategy optimizes predictor accuracy. This parameter is only valid for predictors trained using AutoML. Valid values are: C<"LatencyOptimized"> =head2 PredictorEvaluationResults => ArrayRef[L] An array of results from evaluating the predictor. =head2 _request_id => Str =cut 1;