class Aws::SageMaker::Types::TransformOutput

Describes the results of a transform job.

@note When making an API call, you may pass TransformOutput

data as a hash:

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

@!attribute [rw] s3_output_path

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.
@return [String]

@!attribute [rw] accept

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.
@return [String]

@!attribute [rw] assemble_with

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`.
@return [String]

@!attribute [rw] kms_key_id

The 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:

* 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][1] 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][2] in the *Amazon
Web Services Key Management Service Developer Guide*.

[1]: https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html
[2]: http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/TransformOutput AWS API Documentation

Constants

SENSITIVE