AWS SDK for C++  1.9.19
AWS SDK for C++
Public Member Functions | List of all members
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::StringGetAlgorithmName () const
 
bool AlgorithmNameHasBeenSet () const
 
void SetAlgorithmName (const Aws::String &value)
 
void SetAlgorithmName (Aws::String &&value)
 
void SetAlgorithmName (const char *value)
 
CreateAlgorithmRequestWithAlgorithmName (const Aws::String &value)
 
CreateAlgorithmRequestWithAlgorithmName (Aws::String &&value)
 
CreateAlgorithmRequestWithAlgorithmName (const char *value)
 
const Aws::StringGetAlgorithmDescription () const
 
bool AlgorithmDescriptionHasBeenSet () const
 
void SetAlgorithmDescription (const Aws::String &value)
 
void SetAlgorithmDescription (Aws::String &&value)
 
void SetAlgorithmDescription (const char *value)
 
CreateAlgorithmRequestWithAlgorithmDescription (const Aws::String &value)
 
CreateAlgorithmRequestWithAlgorithmDescription (Aws::String &&value)
 
CreateAlgorithmRequestWithAlgorithmDescription (const char *value)
 
const TrainingSpecificationGetTrainingSpecification () const
 
bool TrainingSpecificationHasBeenSet () const
 
void SetTrainingSpecification (const TrainingSpecification &value)
 
void SetTrainingSpecification (TrainingSpecification &&value)
 
CreateAlgorithmRequestWithTrainingSpecification (const TrainingSpecification &value)
 
CreateAlgorithmRequestWithTrainingSpecification (TrainingSpecification &&value)
 
const InferenceSpecificationGetInferenceSpecification () const
 
bool InferenceSpecificationHasBeenSet () const
 
void SetInferenceSpecification (const InferenceSpecification &value)
 
void SetInferenceSpecification (InferenceSpecification &&value)
 
CreateAlgorithmRequestWithInferenceSpecification (const InferenceSpecification &value)
 
CreateAlgorithmRequestWithInferenceSpecification (InferenceSpecification &&value)
 
const AlgorithmValidationSpecificationGetValidationSpecification () const
 
bool ValidationSpecificationHasBeenSet () const
 
void SetValidationSpecification (const AlgorithmValidationSpecification &value)
 
void SetValidationSpecification (AlgorithmValidationSpecification &&value)
 
CreateAlgorithmRequestWithValidationSpecification (const AlgorithmValidationSpecification &value)
 
CreateAlgorithmRequestWithValidationSpecification (AlgorithmValidationSpecification &&value)
 
bool GetCertifyForMarketplace () const
 
bool CertifyForMarketplaceHasBeenSet () const
 
void SetCertifyForMarketplace (bool value)
 
CreateAlgorithmRequestWithCertifyForMarketplace (bool value)
 
const Aws::Vector< Tag > & GetTags () const
 
bool TagsHasBeenSet () const
 
void SetTags (const Aws::Vector< Tag > &value)
 
void SetTags (Aws::Vector< Tag > &&value)
 
CreateAlgorithmRequestWithTags (const Aws::Vector< Tag > &value)
 
CreateAlgorithmRequestWithTags (Aws::Vector< Tag > &&value)
 
CreateAlgorithmRequestAddTags (const Tag &value)
 
CreateAlgorithmRequestAddTags (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::IOStreamGetBody () 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 RequestSignedHandlerGetRequestSignedHandler () const
 
const Aws::IOStreamFactoryGetResponseStreamFactory () 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::DataReceivedEventHandlerGetDataReceivedEventHandler () const
 
virtual const Aws::Http::DataSentEventHandlerGetDataSentEventHandler () const
 
virtual const Aws::Http::ContinueRequestHandlerGetContinueRequestHandler () const
 
virtual const RequestRetryHandlerGetRequestRetryHandler () 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS 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 AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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 AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS 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.


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