Struct aws_sdk_sagemaker::model::transform_output::Builder [−][src]
#[non_exhaustive]pub struct Builder { /* fields omitted */ }
Expand description
A builder for TransformOutput
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 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.
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
.
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.
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.
Consumes the builder and constructs a TransformOutput
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Builder
impl UnwindSafe for Builder
Blanket Implementations
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to this type, returning a
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Attaches the current default Subscriber
to this type, returning a
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