Paws::SageMaker::HyperParameterTuningJobConfig
This class represents one of two things:
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, ..., TuningJobCompletionCriteria => $value });
Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::HyperParameterTuningJobConfig object:
$result = $service_obj->Method(...); $result->Att1->HyperParameterTuningJobObjective
Configures a hyperparameter tuning job.
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html).
Bayesian
Random
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 OFF):
OFF
Training jobs launched by the hyperparameter tuning job do not use early stopping.
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 (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html).
The tuning job's completion criteria.
This class forms part of Paws, describing an object used in Paws::SageMaker
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
To install Paws, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Paws
CPAN shell
perl -MCPAN -e shell install Paws
For more information on module installation, please visit the detailed CPAN module installation guide.