public static interface TransformOutput.Builder extends SdkPojo, CopyableBuilder<TransformOutput.Builder,TransformOutput>
Modifier and Type | Method and Description |
---|---|
TransformOutput.Builder |
accept(String accept)
The MIME type used to specify the output data.
|
TransformOutput.Builder |
assembleWith(AssemblyType assembleWith)
Defines how to assemble the results of the transform job as a single S3 object.
|
TransformOutput.Builder |
assembleWith(String assembleWith)
Defines how to assemble the results of the transform job as a single S3 object.
|
TransformOutput.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.
|
TransformOutput.Builder |
s3OutputPath(String s3OutputPath)
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
|
equalsBySdkFields, sdkFields
copy
applyMutation, build
TransformOutput.Builder s3OutputPath(String s3OutputPath)
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.
s3OutputPath
- 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.
TransformOutput.Builder accept(String 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.
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.TransformOutput.Builder assembleWith(String assembleWith)
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
.
assembleWith
- 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
.AssemblyType
,
AssemblyType
TransformOutput.Builder assembleWith(AssemblyType assembleWith)
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
.
assembleWith
- 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
.AssemblyType
,
AssemblyType
TransformOutput.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. 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.
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. 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.
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