Aws::SageMaker::Model::CreateTransformJobRequest Class Reference

#include <CreateTransformJobRequest.h>

Inheritance diagram for Aws::SageMaker::Model::CreateTransformJobRequest:

Public Member Functions
	CreateTransformJobRequest ()
virtual const char *	GetServiceRequestName () const override
Aws::String	SerializePayload () const override
Aws::Http::HeaderValueCollection	GetRequestSpecificHeaders () const override
const Aws::String &	GetTransformJobName () const
bool	TransformJobNameHasBeenSet () const
void	SetTransformJobName (const Aws::String &value)
void	SetTransformJobName (Aws::String &&value)
void	SetTransformJobName (const char *value)
CreateTransformJobRequest &	WithTransformJobName (const Aws::String &value)
CreateTransformJobRequest &	WithTransformJobName (Aws::String &&value)
CreateTransformJobRequest &	WithTransformJobName (const char *value)
const Aws::String &	GetModelName () const
bool	ModelNameHasBeenSet () const
void	SetModelName (const Aws::String &value)
void	SetModelName (Aws::String &&value)
void	SetModelName (const char *value)
CreateTransformJobRequest &	WithModelName (const Aws::String &value)
CreateTransformJobRequest &	WithModelName (Aws::String &&value)
CreateTransformJobRequest &	WithModelName (const char *value)
int	GetMaxConcurrentTransforms () const
bool	MaxConcurrentTransformsHasBeenSet () const
void	SetMaxConcurrentTransforms (int value)
CreateTransformJobRequest &	WithMaxConcurrentTransforms (int value)
const ModelClientConfig &	GetModelClientConfig () const
bool	ModelClientConfigHasBeenSet () const
void	SetModelClientConfig (const ModelClientConfig &value)
void	SetModelClientConfig (ModelClientConfig &&value)
CreateTransformJobRequest &	WithModelClientConfig (const ModelClientConfig &value)
CreateTransformJobRequest &	WithModelClientConfig (ModelClientConfig &&value)
int	GetMaxPayloadInMB () const
bool	MaxPayloadInMBHasBeenSet () const
void	SetMaxPayloadInMB (int value)
CreateTransformJobRequest &	WithMaxPayloadInMB (int value)
const BatchStrategy &	GetBatchStrategy () const
bool	BatchStrategyHasBeenSet () const
void	SetBatchStrategy (const BatchStrategy &value)
void	SetBatchStrategy (BatchStrategy &&value)
CreateTransformJobRequest &	WithBatchStrategy (const BatchStrategy &value)
CreateTransformJobRequest &	WithBatchStrategy (BatchStrategy &&value)
const Aws::Map< Aws::String, Aws::String > &	GetEnvironment () const
bool	EnvironmentHasBeenSet () const
void	SetEnvironment (const Aws::Map< Aws::String, Aws::String > &value)
void	SetEnvironment (Aws::Map< Aws::String, Aws::String > &&value)
CreateTransformJobRequest &	WithEnvironment (const Aws::Map< Aws::String, Aws::String > &value)
CreateTransformJobRequest &	WithEnvironment (Aws::Map< Aws::String, Aws::String > &&value)
CreateTransformJobRequest &	AddEnvironment (const Aws::String &key, const Aws::String &value)
CreateTransformJobRequest &	AddEnvironment (Aws::String &&key, const Aws::String &value)
CreateTransformJobRequest &	AddEnvironment (const Aws::String &key, Aws::String &&value)
CreateTransformJobRequest &	AddEnvironment (Aws::String &&key, Aws::String &&value)
CreateTransformJobRequest &	AddEnvironment (const char *key, Aws::String &&value)
CreateTransformJobRequest &	AddEnvironment (Aws::String &&key, const char *value)
CreateTransformJobRequest &	AddEnvironment (const char *key, const char *value)
const TransformInput &	GetTransformInput () const
bool	TransformInputHasBeenSet () const
void	SetTransformInput (const TransformInput &value)
void	SetTransformInput (TransformInput &&value)
CreateTransformJobRequest &	WithTransformInput (const TransformInput &value)
CreateTransformJobRequest &	WithTransformInput (TransformInput &&value)
const TransformOutput &	GetTransformOutput () const
bool	TransformOutputHasBeenSet () const
void	SetTransformOutput (const TransformOutput &value)
void	SetTransformOutput (TransformOutput &&value)
CreateTransformJobRequest &	WithTransformOutput (const TransformOutput &value)
CreateTransformJobRequest &	WithTransformOutput (TransformOutput &&value)
const TransformResources &	GetTransformResources () const
bool	TransformResourcesHasBeenSet () const
void	SetTransformResources (const TransformResources &value)
void	SetTransformResources (TransformResources &&value)
CreateTransformJobRequest &	WithTransformResources (const TransformResources &value)
CreateTransformJobRequest &	WithTransformResources (TransformResources &&value)
const DataProcessing &	GetDataProcessing () const
bool	DataProcessingHasBeenSet () const
void	SetDataProcessing (const DataProcessing &value)
void	SetDataProcessing (DataProcessing &&value)
CreateTransformJobRequest &	WithDataProcessing (const DataProcessing &value)
CreateTransformJobRequest &	WithDataProcessing (DataProcessing &&value)
const Aws::Vector< Tag > &	GetTags () const
bool	TagsHasBeenSet () const
void	SetTags (const Aws::Vector< Tag > &value)
void	SetTags (Aws::Vector< Tag > &&value)
CreateTransformJobRequest &	WithTags (const Aws::Vector< Tag > &value)
CreateTransformJobRequest &	WithTags (Aws::Vector< Tag > &&value)
CreateTransformJobRequest &	AddTags (const Tag &value)
CreateTransformJobRequest &	AddTags (Tag &&value)
const ExperimentConfig &	GetExperimentConfig () const
bool	ExperimentConfigHasBeenSet () const
void	SetExperimentConfig (const ExperimentConfig &value)
void	SetExperimentConfig (ExperimentConfig &&value)
CreateTransformJobRequest &	WithExperimentConfig (const ExperimentConfig &value)
CreateTransformJobRequest &	WithExperimentConfig (ExperimentConfig &&value)
Public Member Functions inherited from Aws::SageMaker::SageMakerRequest
virtual	~SageMakerRequest ()
void	AddParametersToRequest (Aws::Http::HttpRequest &httpRequest) const
Aws::Http::HeaderValueCollection	GetHeaders () const override
Public Member Functions inherited from Aws::AmazonSerializableWebServiceRequest
	AmazonSerializableWebServiceRequest ()
virtual	~AmazonSerializableWebServiceRequest ()
std::shared_ptr< Aws::IOStream >	GetBody () const override
Public Member Functions inherited from Aws::AmazonWebServiceRequest
	AmazonWebServiceRequest ()
virtual	~AmazonWebServiceRequest ()=default
virtual void	AddQueryStringParameters (Aws::Http::URI &uri) const
virtual void	PutToPresignedUrl (Aws::Http::URI &uri) const
virtual bool	IsStreaming () const
virtual bool	IsEventStreamRequest () const
virtual bool	SignBody () const
virtual bool	IsChunked () const
virtual void	SetRequestSignedHandler (const RequestSignedHandler &handler)
virtual const RequestSignedHandler &	GetRequestSignedHandler () const
const Aws::IOStreamFactory &	GetResponseStreamFactory () const
void	SetResponseStreamFactory (const Aws::IOStreamFactory &factory)
virtual void	SetDataReceivedEventHandler (const Aws::Http::DataReceivedEventHandler &dataReceivedEventHandler)
virtual void	SetDataSentEventHandler (const Aws::Http::DataSentEventHandler &dataSentEventHandler)
virtual void	SetContinueRequestHandler (const Aws::Http::ContinueRequestHandler &continueRequestHandler)
virtual void	SetDataReceivedEventHandler (Aws::Http::DataReceivedEventHandler &&dataReceivedEventHandler)
virtual void	SetDataSentEventHandler (Aws::Http::DataSentEventHandler &&dataSentEventHandler)
virtual void	SetContinueRequestHandler (Aws::Http::ContinueRequestHandler &&continueRequestHandler)
virtual void	SetRequestRetryHandler (const RequestRetryHandler &handler)
virtual void	SetRequestRetryHandler (RequestRetryHandler &&handler)
virtual const Aws::Http::DataReceivedEventHandler &	GetDataReceivedEventHandler () const
virtual const Aws::Http::DataSentEventHandler &	GetDataSentEventHandler () const
virtual const Aws::Http::ContinueRequestHandler &	GetContinueRequestHandler () const
virtual const RequestRetryHandler &	GetRequestRetryHandler () const
virtual bool	ShouldComputeContentMd5 () const

Additional Inherited Members
Protected Member Functions inherited from Aws::AmazonWebServiceRequest
virtual void	DumpBodyToUrl (Aws::Http::URI &uri) const

Detailed Description

Definition at line 31 of file CreateTransformJobRequest.h.

Constructor & Destructor Documentation

CreateTransformJobRequest()

Aws::SageMaker::Model::CreateTransformJobRequest::CreateTransformJobRequest

(

)

Member Function Documentation

AddEnvironment() [1/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( Aws::String &&  key, Aws::String &&  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 449 of file CreateTransformJobRequest.h.

AddEnvironment() [2/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( Aws::String &&  key, const Aws::String &  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 437 of file CreateTransformJobRequest.h.

AddEnvironment() [3/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( Aws::String &&  key, const char *  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 461 of file CreateTransformJobRequest.h.

AddEnvironment() [4/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( const Aws::String &  key, Aws::String &&  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 443 of file CreateTransformJobRequest.h.

AddEnvironment() [5/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( const Aws::String &  key, const Aws::String &  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 431 of file CreateTransformJobRequest.h.

AddEnvironment() [6/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( const char *  key, Aws::String &&  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 455 of file CreateTransformJobRequest.h.

AddEnvironment() [7/7]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddEnvironment ( const char *  key, const char *  value  )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 467 of file CreateTransformJobRequest.h.

AddTags() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddTags ( const Tag &  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 696 of file CreateTransformJobRequest.h.

AddTags() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::AddTags ( Tag &&  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 704 of file CreateTransformJobRequest.h.

BatchStrategyHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::BatchStrategyHasBeenSet ( ) const

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 328 of file CreateTransformJobRequest.h.

DataProcessingHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::DataProcessingHasBeenSet ( ) const

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 591 of file CreateTransformJobRequest.h.

EnvironmentHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::EnvironmentHasBeenSet ( ) const

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 401 of file CreateTransformJobRequest.h.

ExperimentConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::ExperimentConfigHasBeenSet ( ) const

inline

Definition at line 711 of file CreateTransformJobRequest.h.

GetBatchStrategy()

const BatchStrategy& Aws::SageMaker::Model::CreateTransformJobRequest::GetBatchStrategy ( ) const

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 313 of file CreateTransformJobRequest.h.

GetDataProcessing()

const DataProcessing& Aws::SageMaker::Model::CreateTransformJobRequest::GetDataProcessing ( ) const

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 579 of file CreateTransformJobRequest.h.

GetEnvironment()

const Aws::Map<Aws::String, Aws::String>& Aws::SageMaker::Model::CreateTransformJobRequest::GetEnvironment ( ) const

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 395 of file CreateTransformJobRequest.h.

GetExperimentConfig()

const ExperimentConfig& Aws::SageMaker::Model::CreateTransformJobRequest::GetExperimentConfig ( ) const

inline

Definition at line 708 of file CreateTransformJobRequest.h.

GetMaxConcurrentTransforms()

int Aws::SageMaker::Model::CreateTransformJobRequest::GetMaxConcurrentTransforms ( ) const

inline

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

Definition at line 164 of file CreateTransformJobRequest.h.

GetMaxPayloadInMB()

int Aws::SageMaker::Model::CreateTransformJobRequest::GetMaxPayloadInMB ( ) const

inline

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.

For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.

Definition at line 255 of file CreateTransformJobRequest.h.

GetModelClientConfig()

const ModelClientConfig& Aws::SageMaker::Model::CreateTransformJobRequest::GetModelClientConfig ( ) const

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 210 of file CreateTransformJobRequest.h.

GetModelName()

const Aws::String& Aws::SageMaker::Model::CreateTransformJobRequest::GetModelName ( ) const

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 101 of file CreateTransformJobRequest.h.

GetRequestSpecificHeaders()

Aws::Http::HeaderValueCollection Aws::SageMaker::Model::CreateTransformJobRequest::GetRequestSpecificHeaders ( ) const

overridevirtual

Reimplemented from Aws::SageMaker::SageMakerRequest.

GetServiceRequestName()

virtual const char* Aws::SageMaker::Model::CreateTransformJobRequest::GetServiceRequestName ( ) const

inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 40 of file CreateTransformJobRequest.h.

GetTags()

const Aws::Vector<Tag>& Aws::SageMaker::Model::CreateTransformJobRequest::GetTags ( ) const

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 648 of file CreateTransformJobRequest.h.

GetTransformInput()

const TransformInput& Aws::SageMaker::Model::CreateTransformJobRequest::GetTransformInput ( ) const

inline

Describes the input source and the way the transform job consumes it.

Definition at line 473 of file CreateTransformJobRequest.h.

GetTransformJobName()

const Aws::String& Aws::SageMaker::Model::CreateTransformJobRequest::GetTransformJobName ( ) const

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 51 of file CreateTransformJobRequest.h.

GetTransformOutput()

const TransformOutput& Aws::SageMaker::Model::CreateTransformJobRequest::GetTransformOutput ( ) const

inline

Describes the results of the transform job.

Definition at line 504 of file CreateTransformJobRequest.h.

GetTransformResources()

const TransformResources& Aws::SageMaker::Model::CreateTransformJobRequest::GetTransformResources ( ) const

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 536 of file CreateTransformJobRequest.h.

MaxConcurrentTransformsHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::MaxConcurrentTransformsHasBeenSet ( ) const

inline

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

Definition at line 177 of file CreateTransformJobRequest.h.

MaxPayloadInMBHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::MaxPayloadInMBHasBeenSet ( ) const

inline

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.

For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.

Definition at line 269 of file CreateTransformJobRequest.h.

ModelClientConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::ModelClientConfigHasBeenSet ( ) const

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 216 of file CreateTransformJobRequest.h.

ModelNameHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::ModelNameHasBeenSet ( ) const

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 108 of file CreateTransformJobRequest.h.

SerializePayload()

Aws::String Aws::SageMaker::Model::CreateTransformJobRequest::SerializePayload ( ) const

overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

SetBatchStrategy() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetBatchStrategy ( BatchStrategy &&  value )

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 358 of file CreateTransformJobRequest.h.

SetBatchStrategy() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetBatchStrategy ( const BatchStrategy &  value )

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 343 of file CreateTransformJobRequest.h.

SetDataProcessing() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetDataProcessing ( const DataProcessing &  value )

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 603 of file CreateTransformJobRequest.h.

SetDataProcessing() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetDataProcessing ( DataProcessing &&  value )

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 615 of file CreateTransformJobRequest.h.

SetEnvironment() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetEnvironment ( Aws::Map< Aws::String, Aws::String > &&  value )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 413 of file CreateTransformJobRequest.h.

SetEnvironment() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetEnvironment ( const Aws::Map< Aws::String, Aws::String > &  value )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 407 of file CreateTransformJobRequest.h.

SetExperimentConfig() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetExperimentConfig ( const ExperimentConfig &  value )

inline

Definition at line 714 of file CreateTransformJobRequest.h.

SetExperimentConfig() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetExperimentConfig ( ExperimentConfig &&  value )

inline

Definition at line 717 of file CreateTransformJobRequest.h.

SetMaxConcurrentTransforms()

void Aws::SageMaker::Model::CreateTransformJobRequest::SetMaxConcurrentTransforms ( int  value )

inline

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

Definition at line 190 of file CreateTransformJobRequest.h.

SetMaxPayloadInMB()

void Aws::SageMaker::Model::CreateTransformJobRequest::SetMaxPayloadInMB ( int  value )

inline

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.

For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.

Definition at line 283 of file CreateTransformJobRequest.h.

SetModelClientConfig() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetModelClientConfig ( const ModelClientConfig &  value )

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 222 of file CreateTransformJobRequest.h.

SetModelClientConfig() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetModelClientConfig ( ModelClientConfig &&  value )

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 228 of file CreateTransformJobRequest.h.

SetModelName() [1/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetModelName ( Aws::String &&  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 122 of file CreateTransformJobRequest.h.

SetModelName() [2/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetModelName ( const Aws::String &  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 115 of file CreateTransformJobRequest.h.

SetModelName() [3/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetModelName ( const char *  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 129 of file CreateTransformJobRequest.h.

SetTags() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTags ( Aws::Vector< Tag > &&  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 672 of file CreateTransformJobRequest.h.

SetTags() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTags ( const Aws::Vector< Tag > &  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 664 of file CreateTransformJobRequest.h.

SetTransformInput() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformInput ( const TransformInput &  value )

inline

Describes the input source and the way the transform job consumes it.

Definition at line 483 of file CreateTransformJobRequest.h.

SetTransformInput() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformInput ( TransformInput &&  value )

inline

Describes the input source and the way the transform job consumes it.

Definition at line 488 of file CreateTransformJobRequest.h.

SetTransformJobName() [1/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformJobName ( Aws::String &&  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 69 of file CreateTransformJobRequest.h.

SetTransformJobName() [2/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformJobName ( const Aws::String &  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 63 of file CreateTransformJobRequest.h.

SetTransformJobName() [3/3]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformJobName ( const char *  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 75 of file CreateTransformJobRequest.h.

SetTransformOutput() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformOutput ( const TransformOutput &  value )

inline

Describes the results of the transform job.

Definition at line 514 of file CreateTransformJobRequest.h.

SetTransformOutput() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformOutput ( TransformOutput &&  value )

inline

Describes the results of the transform job.

Definition at line 519 of file CreateTransformJobRequest.h.

SetTransformResources() [1/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformResources ( const TransformResources &  value )

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 548 of file CreateTransformJobRequest.h.

SetTransformResources() [2/2]

void Aws::SageMaker::Model::CreateTransformJobRequest::SetTransformResources ( TransformResources &&  value )

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 554 of file CreateTransformJobRequest.h.

TagsHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::TagsHasBeenSet ( ) const

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 656 of file CreateTransformJobRequest.h.

TransformInputHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::TransformInputHasBeenSet ( ) const

inline

Describes the input source and the way the transform job consumes it.

Definition at line 478 of file CreateTransformJobRequest.h.

TransformJobNameHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::TransformJobNameHasBeenSet ( ) const

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 57 of file CreateTransformJobRequest.h.

TransformOutputHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::TransformOutputHasBeenSet ( ) const

inline

Describes the results of the transform job.

Definition at line 509 of file CreateTransformJobRequest.h.

TransformResourcesHasBeenSet()

bool Aws::SageMaker::Model::CreateTransformJobRequest::TransformResourcesHasBeenSet ( ) const

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 542 of file CreateTransformJobRequest.h.

WithBatchStrategy() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithBatchStrategy ( BatchStrategy &&  value )

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 388 of file CreateTransformJobRequest.h.

WithBatchStrategy() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithBatchStrategy ( const BatchStrategy &  value )

inline

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.

To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.

To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.

Definition at line 373 of file CreateTransformJobRequest.h.

WithDataProcessing() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithDataProcessing ( const DataProcessing &  value )

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 627 of file CreateTransformJobRequest.h.

WithDataProcessing() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithDataProcessing ( DataProcessing &&  value )

inline

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

Definition at line 639 of file CreateTransformJobRequest.h.

WithEnvironment() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithEnvironment ( Aws::Map< Aws::String, Aws::String > &&  value )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 425 of file CreateTransformJobRequest.h.

WithEnvironment() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithEnvironment ( const Aws::Map< Aws::String, Aws::String > &  value )

inline

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Definition at line 419 of file CreateTransformJobRequest.h.

WithExperimentConfig() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithExperimentConfig ( const ExperimentConfig &  value )

inline

Definition at line 720 of file CreateTransformJobRequest.h.

WithExperimentConfig() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithExperimentConfig ( ExperimentConfig &&  value )

inline

Definition at line 723 of file CreateTransformJobRequest.h.

WithMaxConcurrentTransforms()

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithMaxConcurrentTransforms ( int  value )

inline

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

Definition at line 203 of file CreateTransformJobRequest.h.

WithMaxPayloadInMB()

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithMaxPayloadInMB ( int  value )

inline

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.

For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.

Definition at line 297 of file CreateTransformJobRequest.h.

WithModelClientConfig() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithModelClientConfig ( const ModelClientConfig &  value )

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 234 of file CreateTransformJobRequest.h.

WithModelClientConfig() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithModelClientConfig ( ModelClientConfig &&  value )

inline

Configures the timeout and maximum number of retries for processing a transform job invocation.

Definition at line 240 of file CreateTransformJobRequest.h.

WithModelName() [1/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithModelName ( Aws::String &&  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 143 of file CreateTransformJobRequest.h.

WithModelName() [2/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithModelName ( const Aws::String &  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 136 of file CreateTransformJobRequest.h.

WithModelName() [3/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithModelName ( const char *  value )

inline

The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 150 of file CreateTransformJobRequest.h.

WithTags() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTags ( Aws::Vector< Tag > &&  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 688 of file CreateTransformJobRequest.h.

WithTags() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTags ( const Aws::Vector< Tag > &  value )

inline

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

Definition at line 680 of file CreateTransformJobRequest.h.

WithTransformInput() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformInput ( const TransformInput &  value )

inline

Describes the input source and the way the transform job consumes it.

Definition at line 493 of file CreateTransformJobRequest.h.

WithTransformInput() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformInput ( TransformInput &&  value )

inline

Describes the input source and the way the transform job consumes it.

Definition at line 498 of file CreateTransformJobRequest.h.

WithTransformJobName() [1/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformJobName ( Aws::String &&  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 87 of file CreateTransformJobRequest.h.

WithTransformJobName() [2/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformJobName ( const Aws::String &  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 81 of file CreateTransformJobRequest.h.

WithTransformJobName() [3/3]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformJobName ( const char *  value )

inline

The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

Definition at line 93 of file CreateTransformJobRequest.h.

WithTransformOutput() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformOutput ( const TransformOutput &  value )

inline

Describes the results of the transform job.

Definition at line 524 of file CreateTransformJobRequest.h.

WithTransformOutput() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformOutput ( TransformOutput &&  value )

inline

Describes the results of the transform job.

Definition at line 529 of file CreateTransformJobRequest.h.

WithTransformResources() [1/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformResources ( const TransformResources &  value )

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 560 of file CreateTransformJobRequest.h.

WithTransformResources() [2/2]

CreateTransformJobRequest& Aws::SageMaker::Model::CreateTransformJobRequest::WithTransformResources ( TransformResources &&  value )

inline

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

Definition at line 566 of file CreateTransformJobRequest.h.

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The documentation for this class was generated from the following file:

• aws-cpp-sdk-sagemaker/include/aws/sagemaker/model/CreateTransformJobRequest.h