NAME
Paws::SageMaker::HyperParameterTuningJobConfig
USAGE
This class represents one of two things:
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::HyperParameterTuningJobConfig object:
$service_obj->Method(Att1 => { HyperParameterTuningJobObjective => $value, ..., TrainingJobEarlyStoppingType => $value });
Results returned from an API call
Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::HyperParameterTuningJobConfig object:
$result = $service_obj->Method(...);
$result->Att1->HyperParameterTuningJobObjective
DESCRIPTION
Configures a hyperparameter tuning job.
ATTRIBUTES
REQUIRED HyperParameterTuningJobObjective => Paws::SageMaker::HyperParameterTuningJobObjective
The HyperParameterTuningJobObjective object that specifies the
objective metric for this tuning job.
REQUIRED ParameterRanges => Paws::SageMaker::ParameterRanges
The ParameterRanges object that specifies the ranges of hyperparameters
that this tuning job searches.
REQUIRED ResourceLimits => Paws::SageMaker::ResourceLimits
The ResourceLimits object that specifies the maximum number of training
jobs and parallel training jobs for this tuning job.
REQUIRED Strategy => Str
Specifies the search strategy for hyperparameters. Currently, the only
valid value is C<Bayesian>.
TrainingJobEarlyStoppingType => Str
Specifies whether to use early stopping for training jobs launched by
the hyperparameter tuning job. This can be one of the following values
(the default value is C<OFF>):
- OFF
-
Training jobs launched by the hyperparameter tuning job do not use early stopping.
- AUTO
-
Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early (http://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html).
SEE ALSO
This class forms part of Paws, describing an object used in Paws::SageMaker
BUGS and CONTRIBUTIONS
The source code is located here: https://github.com/pplu/aws-sdk-perl
Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues