public static interface OutputDataConfig.Builder extends CopyableBuilder<OutputDataConfig.Builder,OutputDataConfig>
Modifier and Type | Method and Description |
---|---|
OutputDataConfig.Builder |
kmsKeyId(String kmsKeyId)
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.
|
OutputDataConfig.Builder |
s3OutputPath(String s3OutputPath)
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
|
copy
applyMutation, build
OutputDataConfig.Builder kmsKeyId(String kmsKeyId)
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.
kmsKeyId
- 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.
OutputDataConfig.Builder s3OutputPath(String s3OutputPath)
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example,
s3://bucket-name/key-name-prefix
.
s3OutputPath
- Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example,
s3://bucket-name/key-name-prefix
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