com.amazonaws.services.sagemaker.model

Class TransformOutput

java.lang.Object

com.amazonaws.services.sagemaker.model.TransformOutput

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class TransformOutput
extends Object
implements Serializable, Cloneable, StructuredPojo

Describes the results of a transform job output.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
TransformOutput()

Method Summary

Modifier and Type	Method and Description
TransformOutput	clone()
boolean	equals(Object obj)
String	getAccept() The MIME type used to specify the output data.
String	getAssembleWith() Defines how to assemble the results of the transform job as a single S3 object.
String	getKmsKeyId() The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.
String	getS3OutputPath() The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setAccept(String accept) The MIME type used to specify the output data.
void	setAssembleWith(String assembleWith) Defines how to assemble the results of the transform job as a single S3 object.
void	setKmsKeyId(String kmsKeyId) The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.
void	setS3OutputPath(String s3OutputPath) The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
String	toString() Returns a string representation of this object; useful for testing and debugging.
TransformOutput	withAccept(String accept) The MIME type used to specify the output data.
TransformOutput	withAssembleWith(AssemblyType assembleWith) Defines how to assemble the results of the transform job as a single S3 object.
TransformOutput	withAssembleWith(String assembleWith) Defines how to assemble the results of the transform job as a single S3 object.
TransformOutput	withKmsKeyId(String kmsKeyId) The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.
TransformOutput	withS3OutputPath(String s3OutputPath) The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

TransformOutput

public TransformOutput()

Method Detail

setS3OutputPath

public void setS3OutputPath(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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

Parameters:

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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

getS3OutputPath

public String getS3OutputPath()

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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

Returns:

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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

withS3OutputPath

public TransformOutput withS3OutputPath(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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

Parameters:

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, the transformed data is stored in a corresponding subfolder in the location under the output prefix. For example, the input data s3://bucket-name/input-name-prefix/dataset01/data.csv will have the transformed data stored at s3://bucket-name/key-name-prefix/dataset01/, based on the original name, as a series of .part files (.part0001, part0002, etc).

Returns:

Returns a reference to this object so that method calls can be chained together.

setAccept

public void setAccept(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.

Parameters:

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.

getAccept

public String getAccept()

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.

Returns:

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.

withAccept

public TransformOutput withAccept(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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

setAssembleWith

public void setAssembleWith(String assembleWith)

Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Parameters:

assembleWith - Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

See Also:

AssemblyType

getAssembleWith

public String getAssembleWith()

Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Returns:

Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

See Also:

AssemblyType

withAssembleWith

public TransformOutput withAssembleWith(String assembleWith)

Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Parameters:

assembleWith - Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

AssemblyType

withAssembleWith

public TransformOutput withAssembleWith(AssemblyType assembleWith)

Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Parameters:

assembleWith - Defines how to assemble the results of the transform job as a single S3 object. You should select 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. To assemble the output in RecordIO format, specify RecordIO. The default value is None.

For information about the RecordIO format, see Data Format.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

AssemblyType

setKmsKeyId

public void setKmsKeyId(String kmsKeyId)

The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

Parameters:

kmsKeyId - The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

getKmsKeyId

public String getKmsKeyId()

The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

Returns:

The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

withKmsKeyId

public TransformOutput withKmsKeyId(String kmsKeyId)

The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

Parameters:

kmsKeyId - The AWS Key Management Service (AWS KMS) key for Amazon S3 server-side encryption that Amazon SageMaker uses to encrypt the transformed data.

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 CreateTramsformJob request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object; useful for testing and debugging.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public TransformOutput clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.