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::SageMaker::UpdateTrainingJob; use Moose; has ProfilerConfig => (is => 'ro', isa => 'Paws::SageMaker::ProfilerConfigForUpdate'); has ProfilerRuleConfigurations => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::ProfilerRuleConfiguration]'); has TrainingJobName => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateTrainingJob'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::SageMaker::UpdateTrainingJobResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::UpdateTrainingJob - Arguments for method UpdateTrainingJob on L =head1 DESCRIPTION This class represents the parameters used for calling the method UpdateTrainingJob on the L service. Use the attributes of this class as arguments to method UpdateTrainingJob. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateTrainingJob. =head1 SYNOPSIS my $api.sagemaker = Paws->service('SageMaker'); my $UpdateTrainingJobResponse = $api . sagemaker->UpdateTrainingJob( TrainingJobName => 'MyTrainingJobName', ProfilerConfig => { DisableProfiler => 1, # OPTIONAL ProfilingIntervalInMilliseconds => 1, # OPTIONAL ProfilingParameters => { 'MyConfigKey' => 'MyConfigValue', # key: min: 1, max: 256, value: max: 256 }, # max: 20; OPTIONAL S3OutputPath => 'MyS3Uri', # max: 1024; OPTIONAL }, # OPTIONAL ProfilerRuleConfigurations => [ { RuleConfigurationName => 'MyRuleConfigurationName', # min: 1, max: 256 RuleEvaluatorImage => 'MyAlgorithmImage', # max: 255 InstanceType => 'ml.t3.medium' , # values: ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge; OPTIONAL LocalPath => 'MyDirectoryPath', # max: 4096; OPTIONAL RuleParameters => { 'MyConfigKey' => 'MyConfigValue', # key: min: 1, max: 256, value: max: 256 }, # max: 100; OPTIONAL S3OutputPath => 'MyS3Uri', # max: 1024; OPTIONAL VolumeSizeInGB => 1, # OPTIONAL }, ... ], # OPTIONAL ); # Results: my $TrainingJobArn = $UpdateTrainingJobResponse->TrainingJobArn; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 ProfilerConfig => L Configuration information for Debugger system monitoring, framework profiling, and storage paths. =head2 ProfilerRuleConfigurations => ArrayRef[L] Configuration information for Debugger rules for profiling system and framework metrics. =head2 B TrainingJobName => Str The name of a training job to update the Debugger profiling configuration. =head1 SEE ALSO This class forms part of L, documenting arguments for method UpdateTrainingJob in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut