NAME

Paws::SageMaker::ResourceConfig

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::ResourceConfig object:

$service_obj->Method(Att1 => { InstanceCount => $value, ..., VolumeSizeInGB => $value  });

Results returned from an API call

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

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

DESCRIPTION

Describes the resources, including ML compute instances and ML storage volumes, to use for model training.

ATTRIBUTES

REQUIRED InstanceCount => Int

The number of ML compute instances to use. For distributed training,
provide a value greater than 1.

REQUIRED InstanceType => Str

The ML compute instance type.

VolumeKmsKeyId => Str

The Amazon Resource Name (ARN) of a AWS Key Management Service key that
Amazon SageMaker uses to encrypt data on the storage volume attached to
the ML compute instance(s) that run the training job.

REQUIRED VolumeSizeInGB => Int

The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

You must specify sufficient ML storage for your scenario.

Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.

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