Aws::SageMaker::Model::CreateAlgorithmRequest Class Reference

#include <CreateAlgorithmRequest.h>

Inheritance diagram for Aws::SageMaker::Model::CreateAlgorithmRequest:

Public Member Functions
	CreateAlgorithmRequest ()
virtual const char *	GetServiceRequestName () const override
Aws::String	SerializePayload () const override
Aws::Http::HeaderValueCollection	GetRequestSpecificHeaders () const override
const Aws::String &	GetAlgorithmName () const
bool	AlgorithmNameHasBeenSet () const
void	SetAlgorithmName (const Aws::String &value)
void	SetAlgorithmName (Aws::String &&value)
void	SetAlgorithmName (const char *value)
CreateAlgorithmRequest &	WithAlgorithmName (const Aws::String &value)
CreateAlgorithmRequest &	WithAlgorithmName (Aws::String &&value)
CreateAlgorithmRequest &	WithAlgorithmName (const char *value)
const Aws::String &	GetAlgorithmDescription () const
bool	AlgorithmDescriptionHasBeenSet () const
void	SetAlgorithmDescription (const Aws::String &value)
void	SetAlgorithmDescription (Aws::String &&value)
void	SetAlgorithmDescription (const char *value)
CreateAlgorithmRequest &	WithAlgorithmDescription (const Aws::String &value)
CreateAlgorithmRequest &	WithAlgorithmDescription (Aws::String &&value)
CreateAlgorithmRequest &	WithAlgorithmDescription (const char *value)
const TrainingSpecification &	GetTrainingSpecification () const
bool	TrainingSpecificationHasBeenSet () const
void	SetTrainingSpecification (const TrainingSpecification &value)
void	SetTrainingSpecification (TrainingSpecification &&value)
CreateAlgorithmRequest &	WithTrainingSpecification (const TrainingSpecification &value)
CreateAlgorithmRequest &	WithTrainingSpecification (TrainingSpecification &&value)
const InferenceSpecification &	GetInferenceSpecification () const
bool	InferenceSpecificationHasBeenSet () const
void	SetInferenceSpecification (const InferenceSpecification &value)
void	SetInferenceSpecification (InferenceSpecification &&value)
CreateAlgorithmRequest &	WithInferenceSpecification (const InferenceSpecification &value)
CreateAlgorithmRequest &	WithInferenceSpecification (InferenceSpecification &&value)
const AlgorithmValidationSpecification &	GetValidationSpecification () const
bool	ValidationSpecificationHasBeenSet () const
void	SetValidationSpecification (const AlgorithmValidationSpecification &value)
void	SetValidationSpecification (AlgorithmValidationSpecification &&value)
CreateAlgorithmRequest &	WithValidationSpecification (const AlgorithmValidationSpecification &value)
CreateAlgorithmRequest &	WithValidationSpecification (AlgorithmValidationSpecification &&value)
bool	GetCertifyForMarketplace () const
bool	CertifyForMarketplaceHasBeenSet () const
void	SetCertifyForMarketplace (bool value)
CreateAlgorithmRequest &	WithCertifyForMarketplace (bool value)
const Aws::Vector< Tag > &	GetTags () const
bool	TagsHasBeenSet () const
void	SetTags (const Aws::Vector< Tag > &value)
void	SetTags (Aws::Vector< Tag > &&value)
CreateAlgorithmRequest &	WithTags (const Aws::Vector< Tag > &value)
CreateAlgorithmRequest &	WithTags (Aws::Vector< Tag > &&value)
CreateAlgorithmRequest &	AddTags (const Tag &value)
CreateAlgorithmRequest &	AddTags (Tag &&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 26 of file CreateAlgorithmRequest.h.

Constructor & Destructor Documentation

CreateAlgorithmRequest()

Aws::SageMaker::Model::CreateAlgorithmRequest::CreateAlgorithmRequest

(

)

Member Function Documentation

AddTags() [1/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 411 of file CreateAlgorithmRequest.h.

AddTags() [2/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 420 of file CreateAlgorithmRequest.h.

AlgorithmDescriptionHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::AlgorithmDescriptionHasBeenSet ( ) const

inline

A description of the algorithm.

Definition at line 91 of file CreateAlgorithmRequest.h.

AlgorithmNameHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::AlgorithmNameHasBeenSet ( ) const

inline

The name of the algorithm.

Definition at line 50 of file CreateAlgorithmRequest.h.

CertifyForMarketplaceHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::CertifyForMarketplaceHasBeenSet ( ) const

inline

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

Definition at line 335 of file CreateAlgorithmRequest.h.

GetAlgorithmDescription()

const Aws::String& Aws::SageMaker::Model::CreateAlgorithmRequest::GetAlgorithmDescription ( ) const

inline

A description of the algorithm.

Definition at line 86 of file CreateAlgorithmRequest.h.

GetAlgorithmName()

const Aws::String& Aws::SageMaker::Model::CreateAlgorithmRequest::GetAlgorithmName ( ) const

inline

The name of the algorithm.

Definition at line 45 of file CreateAlgorithmRequest.h.

GetCertifyForMarketplace()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::GetCertifyForMarketplace ( ) const

inline

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

Definition at line 329 of file CreateAlgorithmRequest.h.

GetInferenceSpecification()

const InferenceSpecification& Aws::SageMaker::Model::CreateAlgorithmRequest::GetInferenceSpecification ( ) const

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 223 of file CreateAlgorithmRequest.h.

GetRequestSpecificHeaders()

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

overridevirtual

Reimplemented from Aws::SageMaker::SageMakerRequest.

GetServiceRequestName()

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

inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 35 of file CreateAlgorithmRequest.h.

GetTags()

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 357 of file CreateAlgorithmRequest.h.

GetTrainingSpecification()

const TrainingSpecification& Aws::SageMaker::Model::CreateAlgorithmRequest::GetTrainingSpecification ( ) const

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 137 of file CreateAlgorithmRequest.h.

GetValidationSpecification()

const AlgorithmValidationSpecification& Aws::SageMaker::Model::CreateAlgorithmRequest::GetValidationSpecification ( ) const

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 282 of file CreateAlgorithmRequest.h.

InferenceSpecificationHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::InferenceSpecificationHasBeenSet ( ) const

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 233 of file CreateAlgorithmRequest.h.

SerializePayload()

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

overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

SetAlgorithmDescription() [1/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmDescription ( Aws::String &&  value )

inline

A description of the algorithm.

Definition at line 101 of file CreateAlgorithmRequest.h.

SetAlgorithmDescription() [2/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmDescription ( const Aws::String &  value )

inline

A description of the algorithm.

Definition at line 96 of file CreateAlgorithmRequest.h.

SetAlgorithmDescription() [3/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmDescription ( const char *  value )

inline

A description of the algorithm.

Definition at line 106 of file CreateAlgorithmRequest.h.

SetAlgorithmName() [1/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmName ( Aws::String &&  value )

inline

The name of the algorithm.

Definition at line 60 of file CreateAlgorithmRequest.h.

SetAlgorithmName() [2/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmName ( const Aws::String &  value )

inline

The name of the algorithm.

Definition at line 55 of file CreateAlgorithmRequest.h.

SetAlgorithmName() [3/3]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetAlgorithmName ( const char *  value )

inline

The name of the algorithm.

Definition at line 65 of file CreateAlgorithmRequest.h.

SetCertifyForMarketplace()

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetCertifyForMarketplace ( bool  value )

inline

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

Definition at line 341 of file CreateAlgorithmRequest.h.

SetInferenceSpecification() [1/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetInferenceSpecification ( const InferenceSpecification &  value )

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 243 of file CreateAlgorithmRequest.h.

SetInferenceSpecification() [2/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetInferenceSpecification ( InferenceSpecification &&  value )

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 253 of file CreateAlgorithmRequest.h.

SetTags() [1/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 384 of file CreateAlgorithmRequest.h.

SetTags() [2/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 375 of file CreateAlgorithmRequest.h.

SetTrainingSpecification() [1/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetTrainingSpecification ( const TrainingSpecification &  value )

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 167 of file CreateAlgorithmRequest.h.

SetTrainingSpecification() [2/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetTrainingSpecification ( TrainingSpecification &&  value )

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 182 of file CreateAlgorithmRequest.h.

SetValidationSpecification() [1/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetValidationSpecification ( AlgorithmValidationSpecification &&  value )

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 306 of file CreateAlgorithmRequest.h.

SetValidationSpecification() [2/2]

void Aws::SageMaker::Model::CreateAlgorithmRequest::SetValidationSpecification ( const AlgorithmValidationSpecification &  value )

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 298 of file CreateAlgorithmRequest.h.

TagsHasBeenSet()

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 366 of file CreateAlgorithmRequest.h.

TrainingSpecificationHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::TrainingSpecificationHasBeenSet ( ) const

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 152 of file CreateAlgorithmRequest.h.

ValidationSpecificationHasBeenSet()

bool Aws::SageMaker::Model::CreateAlgorithmRequest::ValidationSpecificationHasBeenSet ( ) const

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 290 of file CreateAlgorithmRequest.h.

WithAlgorithmDescription() [1/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmDescription ( Aws::String &&  value )

inline

A description of the algorithm.

Definition at line 116 of file CreateAlgorithmRequest.h.

WithAlgorithmDescription() [2/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmDescription ( const Aws::String &  value )

inline

A description of the algorithm.

Definition at line 111 of file CreateAlgorithmRequest.h.

WithAlgorithmDescription() [3/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmDescription ( const char *  value )

inline

A description of the algorithm.

Definition at line 121 of file CreateAlgorithmRequest.h.

WithAlgorithmName() [1/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmName ( Aws::String &&  value )

inline

The name of the algorithm.

Definition at line 75 of file CreateAlgorithmRequest.h.

WithAlgorithmName() [2/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmName ( const Aws::String &  value )

inline

The name of the algorithm.

Definition at line 70 of file CreateAlgorithmRequest.h.

WithAlgorithmName() [3/3]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithAlgorithmName ( const char *  value )

inline

The name of the algorithm.

Definition at line 80 of file CreateAlgorithmRequest.h.

WithCertifyForMarketplace()

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithCertifyForMarketplace ( bool  value )

inline

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

Definition at line 347 of file CreateAlgorithmRequest.h.

WithInferenceSpecification() [1/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithInferenceSpecification ( const InferenceSpecification &  value )

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 263 of file CreateAlgorithmRequest.h.

WithInferenceSpecification() [2/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithInferenceSpecification ( InferenceSpecification &&  value )

inline

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Definition at line 273 of file CreateAlgorithmRequest.h.

WithTags() [1/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 402 of file CreateAlgorithmRequest.h.

WithTags() [2/2]

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

inline

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Definition at line 393 of file CreateAlgorithmRequest.h.

WithTrainingSpecification() [1/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithTrainingSpecification ( const TrainingSpecification &  value )

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 197 of file CreateAlgorithmRequest.h.

WithTrainingSpecification() [2/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithTrainingSpecification ( TrainingSpecification &&  value )

inline

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Definition at line 212 of file CreateAlgorithmRequest.h.

WithValidationSpecification() [1/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithValidationSpecification ( AlgorithmValidationSpecification &&  value )

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 322 of file CreateAlgorithmRequest.h.

WithValidationSpecification() [2/2]

CreateAlgorithmRequest& Aws::SageMaker::Model::CreateAlgorithmRequest::WithValidationSpecification ( const AlgorithmValidationSpecification &  value )

inline

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Definition at line 314 of file CreateAlgorithmRequest.h.

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

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