Aws::SageMaker::Model::CreateModelRequest Class Reference

#include <CreateModelRequest.h>

Inheritance diagram for Aws::SageMaker::Model::CreateModelRequest:

Public Member Functions
	CreateModelRequest ()
virtual const char *	GetServiceRequestName () const override
Aws::String	SerializePayload () const override
Aws::Http::HeaderValueCollection	GetRequestSpecificHeaders () const override
const Aws::String &	GetModelName () const
bool	ModelNameHasBeenSet () const
void	SetModelName (const Aws::String &value)
void	SetModelName (Aws::String &&value)
void	SetModelName (const char *value)
CreateModelRequest &	WithModelName (const Aws::String &value)
CreateModelRequest &	WithModelName (Aws::String &&value)
CreateModelRequest &	WithModelName (const char *value)
const ContainerDefinition &	GetPrimaryContainer () const
bool	PrimaryContainerHasBeenSet () const
void	SetPrimaryContainer (const ContainerDefinition &value)
void	SetPrimaryContainer (ContainerDefinition &&value)
CreateModelRequest &	WithPrimaryContainer (const ContainerDefinition &value)
CreateModelRequest &	WithPrimaryContainer (ContainerDefinition &&value)
const Aws::Vector< ContainerDefinition > &	GetContainers () const
bool	ContainersHasBeenSet () const
void	SetContainers (const Aws::Vector< ContainerDefinition > &value)
void	SetContainers (Aws::Vector< ContainerDefinition > &&value)
CreateModelRequest &	WithContainers (const Aws::Vector< ContainerDefinition > &value)
CreateModelRequest &	WithContainers (Aws::Vector< ContainerDefinition > &&value)
CreateModelRequest &	AddContainers (const ContainerDefinition &value)
CreateModelRequest &	AddContainers (ContainerDefinition &&value)
const InferenceExecutionConfig &	GetInferenceExecutionConfig () const
bool	InferenceExecutionConfigHasBeenSet () const
void	SetInferenceExecutionConfig (const InferenceExecutionConfig &value)
void	SetInferenceExecutionConfig (InferenceExecutionConfig &&value)
CreateModelRequest &	WithInferenceExecutionConfig (const InferenceExecutionConfig &value)
CreateModelRequest &	WithInferenceExecutionConfig (InferenceExecutionConfig &&value)
const Aws::String &	GetExecutionRoleArn () const
bool	ExecutionRoleArnHasBeenSet () const
void	SetExecutionRoleArn (const Aws::String &value)
void	SetExecutionRoleArn (Aws::String &&value)
void	SetExecutionRoleArn (const char *value)
CreateModelRequest &	WithExecutionRoleArn (const Aws::String &value)
CreateModelRequest &	WithExecutionRoleArn (Aws::String &&value)
CreateModelRequest &	WithExecutionRoleArn (const char *value)
const Aws::Vector< Tag > &	GetTags () const
bool	TagsHasBeenSet () const
void	SetTags (const Aws::Vector< Tag > &value)
void	SetTags (Aws::Vector< Tag > &&value)
CreateModelRequest &	WithTags (const Aws::Vector< Tag > &value)
CreateModelRequest &	WithTags (Aws::Vector< Tag > &&value)
CreateModelRequest &	AddTags (const Tag &value)
CreateModelRequest &	AddTags (Tag &&value)
const VpcConfig &	GetVpcConfig () const
bool	VpcConfigHasBeenSet () const
void	SetVpcConfig (const VpcConfig &value)
void	SetVpcConfig (VpcConfig &&value)
CreateModelRequest &	WithVpcConfig (const VpcConfig &value)
CreateModelRequest &	WithVpcConfig (VpcConfig &&value)
bool	GetEnableNetworkIsolation () const
bool	EnableNetworkIsolationHasBeenSet () const
void	SetEnableNetworkIsolation (bool value)
CreateModelRequest &	WithEnableNetworkIsolation (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::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 CreateModelRequest.h.

Constructor & Destructor Documentation

CreateModelRequest()

Aws::SageMaker::Model::CreateModelRequest::CreateModelRequest

(

)

Member Function Documentation

AddContainers() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::AddContainers ( const ContainerDefinition &  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 159 of file CreateModelRequest.h.

AddContainers() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::AddContainers ( ContainerDefinition &&  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 164 of file CreateModelRequest.h.

AddTags() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::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 362 of file CreateModelRequest.h.

AddTags() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::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 371 of file CreateModelRequest.h.

ContainersHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::ContainersHasBeenSet ( ) const

inline

Specifies the containers in the inference pipeline.

Definition at line 134 of file CreateModelRequest.h.

EnableNetworkIsolationHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::EnableNetworkIsolationHasBeenSet ( ) const

inline

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Definition at line 457 of file CreateModelRequest.h.

ExecutionRoleArnHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::ExecutionRoleArnHasBeenSet ( ) const

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 226 of file CreateModelRequest.h.

GetContainers()

const Aws::Vector<ContainerDefinition>& Aws::SageMaker::Model::CreateModelRequest::GetContainers ( ) const

inline

Specifies the containers in the inference pipeline.

Definition at line 129 of file CreateModelRequest.h.

GetEnableNetworkIsolation()

bool Aws::SageMaker::Model::CreateModelRequest::GetEnableNetworkIsolation ( ) const

inline

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Definition at line 451 of file CreateModelRequest.h.

GetExecutionRoleArn()

const Aws::String& Aws::SageMaker::Model::CreateModelRequest::GetExecutionRoleArn ( ) const

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 214 of file CreateModelRequest.h.

GetInferenceExecutionConfig()

const InferenceExecutionConfig& Aws::SageMaker::Model::CreateModelRequest::GetInferenceExecutionConfig ( ) const

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 171 of file CreateModelRequest.h.

GetModelName()

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

inline

The name of the new model.

Definition at line 45 of file CreateModelRequest.h.

GetPrimaryContainer()

const ContainerDefinition& Aws::SageMaker::Model::CreateModelRequest::GetPrimaryContainer ( ) const

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 88 of file CreateModelRequest.h.

GetRequestSpecificHeaders()

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

overridevirtual

Reimplemented from Aws::SageMaker::SageMakerRequest.

GetServiceRequestName()

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

inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 35 of file CreateModelRequest.h.

GetTags()

const Aws::Vector<Tag>& Aws::SageMaker::Model::CreateModelRequest::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 308 of file CreateModelRequest.h.

GetVpcConfig()

const VpcConfig& Aws::SageMaker::Model::CreateModelRequest::GetVpcConfig ( ) const

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 384 of file CreateModelRequest.h.

InferenceExecutionConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::InferenceExecutionConfigHasBeenSet ( ) const

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 177 of file CreateModelRequest.h.

ModelNameHasBeenSet()

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

inline

The name of the new model.

Definition at line 50 of file CreateModelRequest.h.

PrimaryContainerHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::PrimaryContainerHasBeenSet ( ) const

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 95 of file CreateModelRequest.h.

SerializePayload()

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

overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

SetContainers() [1/2]

void Aws::SageMaker::Model::CreateModelRequest::SetContainers ( Aws::Vector< ContainerDefinition > &&  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 144 of file CreateModelRequest.h.

SetContainers() [2/2]

void Aws::SageMaker::Model::CreateModelRequest::SetContainers ( const Aws::Vector< ContainerDefinition > &  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 139 of file CreateModelRequest.h.

SetEnableNetworkIsolation()

void Aws::SageMaker::Model::CreateModelRequest::SetEnableNetworkIsolation ( bool  value )

inline

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Definition at line 463 of file CreateModelRequest.h.

SetExecutionRoleArn() [1/3]

void Aws::SageMaker::Model::CreateModelRequest::SetExecutionRoleArn ( Aws::String &&  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 250 of file CreateModelRequest.h.

SetExecutionRoleArn() [2/3]

void Aws::SageMaker::Model::CreateModelRequest::SetExecutionRoleArn ( const Aws::String &  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 238 of file CreateModelRequest.h.

SetExecutionRoleArn() [3/3]

void Aws::SageMaker::Model::CreateModelRequest::SetExecutionRoleArn ( const char *  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 262 of file CreateModelRequest.h.

SetInferenceExecutionConfig() [1/2]

void Aws::SageMaker::Model::CreateModelRequest::SetInferenceExecutionConfig ( const InferenceExecutionConfig &  value )

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 183 of file CreateModelRequest.h.

SetInferenceExecutionConfig() [2/2]

void Aws::SageMaker::Model::CreateModelRequest::SetInferenceExecutionConfig ( InferenceExecutionConfig &&  value )

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 189 of file CreateModelRequest.h.

SetModelName() [1/3]

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

inline

The name of the new model.

Definition at line 60 of file CreateModelRequest.h.

SetModelName() [2/3]

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

inline

The name of the new model.

Definition at line 55 of file CreateModelRequest.h.

SetModelName() [3/3]

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

inline

The name of the new model.

Definition at line 65 of file CreateModelRequest.h.

SetPrimaryContainer() [1/2]

void Aws::SageMaker::Model::CreateModelRequest::SetPrimaryContainer ( const ContainerDefinition &  value )

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 102 of file CreateModelRequest.h.

SetPrimaryContainer() [2/2]

void Aws::SageMaker::Model::CreateModelRequest::SetPrimaryContainer ( ContainerDefinition &&  value )

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 109 of file CreateModelRequest.h.

SetTags() [1/2]

void Aws::SageMaker::Model::CreateModelRequest::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 335 of file CreateModelRequest.h.

SetTags() [2/2]

void Aws::SageMaker::Model::CreateModelRequest::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 326 of file CreateModelRequest.h.

SetVpcConfig() [1/2]

void Aws::SageMaker::Model::CreateModelRequest::SetVpcConfig ( const VpcConfig &  value )

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 408 of file CreateModelRequest.h.

SetVpcConfig() [2/2]

void Aws::SageMaker::Model::CreateModelRequest::SetVpcConfig ( VpcConfig &&  value )

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 420 of file CreateModelRequest.h.

TagsHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::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 317 of file CreateModelRequest.h.

VpcConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateModelRequest::VpcConfigHasBeenSet ( ) const

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 396 of file CreateModelRequest.h.

WithContainers() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithContainers ( Aws::Vector< ContainerDefinition > &&  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 154 of file CreateModelRequest.h.

WithContainers() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithContainers ( const Aws::Vector< ContainerDefinition > &  value )

inline

Specifies the containers in the inference pipeline.

Definition at line 149 of file CreateModelRequest.h.

WithEnableNetworkIsolation()

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithEnableNetworkIsolation ( bool  value )

inline

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Definition at line 469 of file CreateModelRequest.h.

WithExecutionRoleArn() [1/3]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithExecutionRoleArn ( Aws::String &&  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 286 of file CreateModelRequest.h.

WithExecutionRoleArn() [2/3]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithExecutionRoleArn ( const Aws::String &  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 274 of file CreateModelRequest.h.

WithExecutionRoleArn() [3/3]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithExecutionRoleArn ( const char *  value )

inline

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

Definition at line 298 of file CreateModelRequest.h.

WithInferenceExecutionConfig() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithInferenceExecutionConfig ( const InferenceExecutionConfig &  value )

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 195 of file CreateModelRequest.h.

WithInferenceExecutionConfig() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithInferenceExecutionConfig ( InferenceExecutionConfig &&  value )

inline

Specifies details of how containers in a multi-container endpoint are called.

Definition at line 201 of file CreateModelRequest.h.

WithModelName() [1/3]

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

inline

The name of the new model.

Definition at line 75 of file CreateModelRequest.h.

WithModelName() [2/3]

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

inline

The name of the new model.

Definition at line 70 of file CreateModelRequest.h.

WithModelName() [3/3]

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

inline

The name of the new model.

Definition at line 80 of file CreateModelRequest.h.

WithPrimaryContainer() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithPrimaryContainer ( const ContainerDefinition &  value )

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 116 of file CreateModelRequest.h.

WithPrimaryContainer() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithPrimaryContainer ( ContainerDefinition &&  value )

inline

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Definition at line 123 of file CreateModelRequest.h.

WithTags() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::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 353 of file CreateModelRequest.h.

WithTags() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::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 344 of file CreateModelRequest.h.

WithVpcConfig() [1/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithVpcConfig ( const VpcConfig &  value )

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 432 of file CreateModelRequest.h.

WithVpcConfig() [2/2]

CreateModelRequest& Aws::SageMaker::Model::CreateModelRequest::WithVpcConfig ( VpcConfig &&  value )

inline

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

Definition at line 444 of file CreateModelRequest.h.

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

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