TransformOutput — AWS SDK for Ruby V3 (original) (raw)

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

Inherits:

Struct

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Describes the results of a transform job.

Constant Summarycollapse

SENSITIVE =

[]

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.

46998 46999 47000 47001 47002 47003 47004 47005 # File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46998 class TransformOutput < Struct.new( :s3_output_path, :accept, :assemble_with, :kms_key_id) SENSITIVE = [] include Aws::Structure end

#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, specifyLine.

46998 46999 47000 47001 47002 47003 47004 47005 # File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46998 class TransformOutput < Struct.new( :s3_output_path, :accept, :assemble_with, :kms_key_id) SENSITIVE = [] include Aws::Structure end

#kms_key_id ⇒ String

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:

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, seeUsing Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

46998 46999 47000 47001 47002 47003 47004 47005 # File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46998 class TransformOutput < Struct.new( :s3_output_path, :accept, :assemble_with, :kms_key_id) SENSITIVE = [] include Aws::Structure end

#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 ats3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data ats3://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 .outfile 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.

46998 46999 47000 47001 47002 47003 47004 47005 # File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46998 class TransformOutput < Struct.new( :s3_output_path, :accept, :assemble_with, :kms_key_id) SENSITIVE = [] include Aws::Structure end