AWS SDK for C++  1.8.78
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)
 
- 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 24 of file CreateAlgorithmRequest.h.

Constructor & Destructor Documentation

◆ CreateAlgorithmRequest()

Aws::SageMaker::Model::CreateAlgorithmRequest::CreateAlgorithmRequest ( )

Member Function Documentation

◆ AlgorithmDescriptionHasBeenSet()

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

A description of the algorithm.

Definition at line 89 of file CreateAlgorithmRequest.h.

◆ AlgorithmNameHasBeenSet()

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

The name of the algorithm.

Definition at line 48 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 333 of file CreateAlgorithmRequest.h.

◆ GetAlgorithmDescription()

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

A description of the algorithm.

Definition at line 84 of file CreateAlgorithmRequest.h.

◆ GetAlgorithmName()

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

The name of the algorithm.

Definition at line 43 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 327 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 221 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 33 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 135 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 280 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 231 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 ( const Aws::String value)
inline

A description of the algorithm.

Definition at line 94 of file CreateAlgorithmRequest.h.

◆ SetAlgorithmDescription() [2/3]

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

A description of the algorithm.

Definition at line 99 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 104 of file CreateAlgorithmRequest.h.

◆ SetAlgorithmName() [1/3]

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

The name of the algorithm.

Definition at line 53 of file CreateAlgorithmRequest.h.

◆ SetAlgorithmName() [2/3]

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

The name of the algorithm.

Definition at line 58 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 63 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 339 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 241 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 251 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 165 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 180 of file CreateAlgorithmRequest.h.

◆ SetValidationSpecification() [1/2]

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 296 of file CreateAlgorithmRequest.h.

◆ SetValidationSpecification() [2/2]

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 304 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 150 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 288 of file CreateAlgorithmRequest.h.

◆ WithAlgorithmDescription() [1/3]

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

A description of the algorithm.

Definition at line 109 of file CreateAlgorithmRequest.h.

◆ WithAlgorithmDescription() [2/3]

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

A description of the algorithm.

Definition at line 114 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 119 of file CreateAlgorithmRequest.h.

◆ WithAlgorithmName() [1/3]

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

The name of the algorithm.

Definition at line 68 of file CreateAlgorithmRequest.h.

◆ WithAlgorithmName() [2/3]

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

The name of the algorithm.

Definition at line 73 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 78 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 345 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 261 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 271 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 195 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 210 of file CreateAlgorithmRequest.h.

◆ WithValidationSpecification() [1/2]

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 312 of file CreateAlgorithmRequest.h.

◆ WithValidationSpecification() [2/2]

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 320 of file CreateAlgorithmRequest.h.


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