NAME

Paws::SageMaker::ProcessingS3Input

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::ProcessingS3Input object:

  $service_obj->Method(Att1 => { LocalPath => $value, ..., S3Uri => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::ProcessingS3Input object:

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

DESCRIPTION

Configuration for downloading input data from Amazon S3 into the processing container.

ATTRIBUTES

LocalPath => Str

The local path in your container where you want Amazon SageMaker to write input data to. "LocalPath" is an absolute path to the input data and must begin with "/opt/ml/processing/". "LocalPath" is a required parameter when "AppManaged" is "False" (default).

S3CompressionType => Str

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. "Gzip" can only be used when "Pipe" mode is specified as the "S3InputMode". In "Pipe" mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

S3DataDistributionType => Str

Whether to distribute the data from Amazon S3 to all processing instances with "FullyReplicated", or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

REQUIRED S3DataType => Str

Whether you use an "S3Prefix" or a "ManifestFile" for the data type. If you choose "S3Prefix", "S3Uri" identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose "ManifestFile", "S3Uri" identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

S3InputMode => Str

Whether to use "File" or "Pipe" input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In "Pipe" mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

REQUIRED S3Uri => Str

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

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>