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NAMEPaws::SageMaker::TransformOutput USAGEThis 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::TransformOutput object: $service_obj->Method(Att1 => { Accept => $value, ..., S3OutputPath => $value }); Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::TransformOutput object: $result = $service_obj->Method(...); $result->Att1->Accept DESCRIPTIONDescribes the results of a transform job. ATTRIBUTESAccept => StrThe MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job. AssembleWith => StrDefines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify "None". To add a newline character at the end of every transformed record, specify "Line". KmsKeyId => StrThe Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The "KmsKeyId" can be any of the following formats:
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html) in the Amazon Simple Storage Service Developer Guide. The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html) in the Amazon Web Services Key Management Service Developer Guide. REQUIRED S3OutputPath => StrThe Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, "s3://bucket-name/key-name-prefix". For every S3 object used as input for the transform job, batch transform stores the transformed data with an ."out" suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at "s3://bucket-name/input-name-prefix/dataset01/data.csv", batch transform stores the transformed data at "s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out". Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an ."out" file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation. SEE ALSOThis class forms part of Paws, describing an object used in Paws::SageMaker BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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