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Class: Aws::SageMaker::Types::OutputDataConfig

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass OutputDataConfig data as a hash:

{
  kms_key_id: "KmsKeyId",
  s3_output_path: "S3Uri", # required
}

Provides information about how to store model training results (model artifacts).

Instance Attribute Summary collapse

Instance Attribute Details

#kms_key_idString

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.

If the configuration of the output S3 bucket requires server-side encryption for objects, and you don't provide the KMS key ID, Amazon SageMaker uses the default service key. For more information, see KMS-Managed Encryption Keys in Amazon Simple Storage Service developer guide.

The KMS key policy must grant permission to the IAM role you specify in your CreateTrainingJob request. Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

Returns:

  • (String)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2002

class OutputDataConfig < Struct.new(
  :kms_key_id,
  :s3_output_path)
  include Aws::Structure
end

#s3_output_pathString

Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Returns:

  • (String)


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2004
2005
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2002

class OutputDataConfig < Struct.new(
  :kms_key_id,
  :s3_output_path)
  include Aws::Structure
end