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Class: Aws::SageMaker::Types::TransformOutput

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing TransformOutput as input to an Aws::Client method, you can use a vanilla Hash:

{
  s3_output_path: "S3Uri", # required
  accept: "Accept",
  assemble_with: "None", # accepts None, Line
  kms_key_id: "KmsKeyId",
}

Describes the results of a transform job.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#accept ⇒ String

The 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.

Returns:

  • (String) —

    The MIME type used to specify the output data.

#assemble_with ⇒ String

Defines 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.

Possible values:

  • None
  • Line

Returns:

  • (String) —

    Defines how to assemble the results of the transform job as a single S3 object.

#kms_key_id ⇒ String

The AWS Key Management Service (AWS 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:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab

  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab

  • Alias name: alias/ExampleAlias

  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

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 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 AWS KMS in the AWS Key Management Service Developer Guide.

Returns:

  • (String) —

    The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

#s3_output_path ⇒ String

The 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.

Returns:

  • (String) —

    The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.