NAME

Paws::SageMaker::TrainingSpecification

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::TrainingSpecification object:

  $service_obj->Method(Att1 => { MetricDefinitions => $value, ..., TrainingImageDigest => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::TrainingSpecification object:

  $result = $service_obj->Method(...);
  $result->Att1->MetricDefinitions

DESCRIPTION

Defines how the algorithm is used for a training job.

ATTRIBUTES

MetricDefinitions => ArrayRef[Paws::SageMaker::MetricDefinition]

A list of "MetricDefinition" objects, which are used for parsing metrics generated by the algorithm.

SupportedHyperParameters => ArrayRef[Paws::SageMaker::HyperParameterSpecification]

A list of the "HyperParameterSpecification" objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

REQUIRED SupportedTrainingInstanceTypes => ArrayRef[Str|Undef]

A list of the instance types that this algorithm can use for training.

SupportedTuningJobObjectiveMetrics => ArrayRef[Paws::SageMaker::HyperParameterTuningJobObjective]

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

SupportsDistributedTraining => Bool

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

REQUIRED TrainingChannels => ArrayRef[Paws::SageMaker::ChannelSpecification]

A list of "ChannelSpecification" objects, which specify the input sources to be used by the algorithm.

REQUIRED TrainingImage => Str

The Amazon ECR registry path of the Docker image that contains the training algorithm.

TrainingImageDigest => Str

An MD5 hash of the training algorithm that identifies the Docker image used for training.

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>