Struct aws_sdk_sagemaker::model::TransformOutput [−][src]
#[non_exhaustive]pub struct TransformOutput {
pub s3_output_path: Option<String>,
pub accept: Option<String>,
pub assemble_with: Option<AssemblyType>,
pub kms_key_id: Option<String>,
}
Expand description
Describes the results of a transform job.
Fields (Non-exhaustive)
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.s3_output_path: Option<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 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.
accept: Option<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.
assemble_with: Option<AssemblyType>
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
.
kms_key_id: Option<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:
-
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 Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
Implementations
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.
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.
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
.
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 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 in the Amazon Web Services Key Management Service Developer Guide.
Creates a new builder-style object to manufacture TransformOutput
Trait Implementations
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for TransformOutput
impl Send for TransformOutput
impl Sync for TransformOutput
impl Unpin for TransformOutput
impl UnwindSafe for TransformOutput
Blanket Implementations
Mutably borrows from an owned value. Read more
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more