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::SageMaker::HyperParameterTuningJobSummary; use Moose; has CreationTime => (is => 'ro', isa => 'Str', required => 1); has HyperParameterTuningEndTime => (is => 'ro', isa => 'Str'); has HyperParameterTuningJobArn => (is => 'ro', isa => 'Str', required => 1); has HyperParameterTuningJobName => (is => 'ro', isa => 'Str', required => 1); has HyperParameterTuningJobStatus => (is => 'ro', isa => 'Str', required => 1); has LastModifiedTime => (is => 'ro', isa => 'Str'); has ObjectiveStatusCounters => (is => 'ro', isa => 'Paws::SageMaker::ObjectiveStatusCounters', required => 1); has ResourceLimits => (is => 'ro', isa => 'Paws::SageMaker::ResourceLimits'); has Strategy => (is => 'ro', isa => 'Str', required => 1); has TrainingJobStatusCounters => (is => 'ro', isa => 'Paws::SageMaker::TrainingJobStatusCounters', required => 1); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::HyperParameterTuningJobSummary =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::SageMaker::HyperParameterTuningJobSummary object: $service_obj->Method(Att1 => { CreationTime => $value, ..., TrainingJobStatusCounters => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::HyperParameterTuningJobSummary object: $result = $service_obj->Method(...); $result->Att1->CreationTime =head1 DESCRIPTION Provides summary information about a hyperparameter tuning job. =head1 ATTRIBUTES =head2 B CreationTime => Str The date and time that the tuning job was created. =head2 HyperParameterTuningEndTime => Str The date and time that the tuning job ended. =head2 B HyperParameterTuningJobArn => Str The Amazon Resource Name (ARN) of the tuning job. =head2 B HyperParameterTuningJobName => Str The name of the tuning job. =head2 B HyperParameterTuningJobStatus => Str The status of the tuning job. =head2 LastModifiedTime => Str The date and time that the tuning job was modified. =head2 B ObjectiveStatusCounters => L The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched. =head2 ResourceLimits => L The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job. =head2 B Strategy => Str Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian. =head2 B TrainingJobStatusCounters => L The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched. =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