AWS SDK for C++  1.8.95
AWS SDK for C++
Public Member Functions | List of all members
Aws::SageMaker::Model::CreateAutoMLJobRequest Class Reference

#include <CreateAutoMLJobRequest.h>

+ Inheritance diagram for Aws::SageMaker::Model::CreateAutoMLJobRequest:

Public Member Functions

 CreateAutoMLJobRequest ()
 
virtual const char * GetServiceRequestName () const override
 
Aws::String SerializePayload () const override
 
Aws::Http::HeaderValueCollection GetRequestSpecificHeaders () const override
 
const Aws::StringGetAutoMLJobName () const
 
bool AutoMLJobNameHasBeenSet () const
 
void SetAutoMLJobName (const Aws::String &value)
 
void SetAutoMLJobName (Aws::String &&value)
 
void SetAutoMLJobName (const char *value)
 
CreateAutoMLJobRequestWithAutoMLJobName (const Aws::String &value)
 
CreateAutoMLJobRequestWithAutoMLJobName (Aws::String &&value)
 
CreateAutoMLJobRequestWithAutoMLJobName (const char *value)
 
const Aws::Vector< AutoMLChannel > & GetInputDataConfig () const
 
bool InputDataConfigHasBeenSet () const
 
void SetInputDataConfig (const Aws::Vector< AutoMLChannel > &value)
 
void SetInputDataConfig (Aws::Vector< AutoMLChannel > &&value)
 
CreateAutoMLJobRequestWithInputDataConfig (const Aws::Vector< AutoMLChannel > &value)
 
CreateAutoMLJobRequestWithInputDataConfig (Aws::Vector< AutoMLChannel > &&value)
 
CreateAutoMLJobRequestAddInputDataConfig (const AutoMLChannel &value)
 
CreateAutoMLJobRequestAddInputDataConfig (AutoMLChannel &&value)
 
const AutoMLOutputDataConfigGetOutputDataConfig () const
 
bool OutputDataConfigHasBeenSet () const
 
void SetOutputDataConfig (const AutoMLOutputDataConfig &value)
 
void SetOutputDataConfig (AutoMLOutputDataConfig &&value)
 
CreateAutoMLJobRequestWithOutputDataConfig (const AutoMLOutputDataConfig &value)
 
CreateAutoMLJobRequestWithOutputDataConfig (AutoMLOutputDataConfig &&value)
 
const ProblemTypeGetProblemType () const
 
bool ProblemTypeHasBeenSet () const
 
void SetProblemType (const ProblemType &value)
 
void SetProblemType (ProblemType &&value)
 
CreateAutoMLJobRequestWithProblemType (const ProblemType &value)
 
CreateAutoMLJobRequestWithProblemType (ProblemType &&value)
 
const AutoMLJobObjectiveGetAutoMLJobObjective () const
 
bool AutoMLJobObjectiveHasBeenSet () const
 
void SetAutoMLJobObjective (const AutoMLJobObjective &value)
 
void SetAutoMLJobObjective (AutoMLJobObjective &&value)
 
CreateAutoMLJobRequestWithAutoMLJobObjective (const AutoMLJobObjective &value)
 
CreateAutoMLJobRequestWithAutoMLJobObjective (AutoMLJobObjective &&value)
 
const AutoMLJobConfigGetAutoMLJobConfig () const
 
bool AutoMLJobConfigHasBeenSet () const
 
void SetAutoMLJobConfig (const AutoMLJobConfig &value)
 
void SetAutoMLJobConfig (AutoMLJobConfig &&value)
 
CreateAutoMLJobRequestWithAutoMLJobConfig (const AutoMLJobConfig &value)
 
CreateAutoMLJobRequestWithAutoMLJobConfig (AutoMLJobConfig &&value)
 
const Aws::StringGetRoleArn () const
 
bool RoleArnHasBeenSet () const
 
void SetRoleArn (const Aws::String &value)
 
void SetRoleArn (Aws::String &&value)
 
void SetRoleArn (const char *value)
 
CreateAutoMLJobRequestWithRoleArn (const Aws::String &value)
 
CreateAutoMLJobRequestWithRoleArn (Aws::String &&value)
 
CreateAutoMLJobRequestWithRoleArn (const char *value)
 
bool GetGenerateCandidateDefinitionsOnly () const
 
bool GenerateCandidateDefinitionsOnlyHasBeenSet () const
 
void SetGenerateCandidateDefinitionsOnly (bool value)
 
CreateAutoMLJobRequestWithGenerateCandidateDefinitionsOnly (bool value)
 
const Aws::Vector< Tag > & GetTags () const
 
bool TagsHasBeenSet () const
 
void SetTags (const Aws::Vector< Tag > &value)
 
void SetTags (Aws::Vector< Tag > &&value)
 
CreateAutoMLJobRequestWithTags (const Aws::Vector< Tag > &value)
 
CreateAutoMLJobRequestWithTags (Aws::Vector< Tag > &&value)
 
CreateAutoMLJobRequestAddTags (const Tag &value)
 
CreateAutoMLJobRequestAddTags (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 28 of file CreateAutoMLJobRequest.h.

Constructor & Destructor Documentation

◆ CreateAutoMLJobRequest()

Aws::SageMaker::Model::CreateAutoMLJobRequest::CreateAutoMLJobRequest ( )

Member Function Documentation

◆ AddInputDataConfig() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::AddInputDataConfig ( const AutoMLChannel value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 133 of file CreateAutoMLJobRequest.h.

◆ AddInputDataConfig() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::AddInputDataConfig ( AutoMLChannel &&  value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 139 of file CreateAutoMLJobRequest.h.

◆ AddTags() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::AddTags ( const Tag value)
inline

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 412 of file CreateAutoMLJobRequest.h.

◆ AddTags() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::AddTags ( Tag &&  value)
inline

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 418 of file CreateAutoMLJobRequest.h.

◆ AutoMLJobConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::AutoMLJobConfigHasBeenSet ( ) const
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 279 of file CreateAutoMLJobRequest.h.

◆ AutoMLJobNameHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::AutoMLJobNameHasBeenSet ( ) const
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 54 of file CreateAutoMLJobRequest.h.

◆ AutoMLJobObjectiveHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::AutoMLJobObjectiveHasBeenSet ( ) const
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 236 of file CreateAutoMLJobRequest.h.

◆ GenerateCandidateDefinitionsOnlyHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::GenerateCandidateDefinitionsOnlyHasBeenSet ( ) const
inline

Generates possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Definition at line 355 of file CreateAutoMLJobRequest.h.

◆ GetAutoMLJobConfig()

const AutoMLJobConfig& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetAutoMLJobConfig ( ) const
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 274 of file CreateAutoMLJobRequest.h.

◆ GetAutoMLJobName()

const Aws::String& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetAutoMLJobName ( ) const
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 48 of file CreateAutoMLJobRequest.h.

◆ GetAutoMLJobObjective()

const AutoMLJobObjective& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetAutoMLJobObjective ( ) const
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 228 of file CreateAutoMLJobRequest.h.

◆ GetGenerateCandidateDefinitionsOnly()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::GetGenerateCandidateDefinitionsOnly ( ) const
inline

Generates possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Definition at line 348 of file CreateAutoMLJobRequest.h.

◆ GetInputDataConfig()

const Aws::Vector<AutoMLChannel>& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetInputDataConfig ( ) const
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 97 of file CreateAutoMLJobRequest.h.

◆ GetOutputDataConfig()

const AutoMLOutputDataConfig& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetOutputDataConfig ( ) const
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 146 of file CreateAutoMLJobRequest.h.

◆ GetProblemType()

const ProblemType& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetProblemType ( ) const
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 184 of file CreateAutoMLJobRequest.h.

◆ GetRequestSpecificHeaders()

Aws::Http::HeaderValueCollection Aws::SageMaker::Model::CreateAutoMLJobRequest::GetRequestSpecificHeaders ( ) const
overridevirtual

Reimplemented from Aws::SageMaker::SageMakerRequest.

◆ GetRoleArn()

const Aws::String& Aws::SageMaker::Model::CreateAutoMLJobRequest::GetRoleArn ( ) const
inline

The ARN of the role that is used to access the data.

Definition at line 305 of file CreateAutoMLJobRequest.h.

◆ GetServiceRequestName()

virtual const char* Aws::SageMaker::Model::CreateAutoMLJobRequest::GetServiceRequestName ( ) const
inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 37 of file CreateAutoMLJobRequest.h.

◆ GetTags()

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

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 376 of file CreateAutoMLJobRequest.h.

◆ InputDataConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::InputDataConfigHasBeenSet ( ) const
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 103 of file CreateAutoMLJobRequest.h.

◆ OutputDataConfigHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::OutputDataConfigHasBeenSet ( ) const
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 152 of file CreateAutoMLJobRequest.h.

◆ ProblemTypeHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::ProblemTypeHasBeenSet ( ) const
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 191 of file CreateAutoMLJobRequest.h.

◆ RoleArnHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::RoleArnHasBeenSet ( ) const
inline

The ARN of the role that is used to access the data.

Definition at line 310 of file CreateAutoMLJobRequest.h.

◆ SerializePayload()

Aws::String Aws::SageMaker::Model::CreateAutoMLJobRequest::SerializePayload ( ) const
overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

◆ SetAutoMLJobConfig() [1/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobConfig ( const AutoMLJobConfig value)
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 284 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobConfig() [2/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobConfig ( AutoMLJobConfig &&  value)
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 289 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobName() [1/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobName ( const Aws::String value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 60 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobName() [2/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobName ( Aws::String &&  value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 66 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobName() [3/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobName ( const char *  value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 72 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobObjective() [1/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobObjective ( const AutoMLJobObjective value)
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 244 of file CreateAutoMLJobRequest.h.

◆ SetAutoMLJobObjective() [2/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetAutoMLJobObjective ( AutoMLJobObjective &&  value)
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 252 of file CreateAutoMLJobRequest.h.

◆ SetGenerateCandidateDefinitionsOnly()

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetGenerateCandidateDefinitionsOnly ( bool  value)
inline

Generates possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Definition at line 362 of file CreateAutoMLJobRequest.h.

◆ SetInputDataConfig() [1/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetInputDataConfig ( const Aws::Vector< AutoMLChannel > &  value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 109 of file CreateAutoMLJobRequest.h.

◆ SetInputDataConfig() [2/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetInputDataConfig ( Aws::Vector< AutoMLChannel > &&  value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 115 of file CreateAutoMLJobRequest.h.

◆ SetOutputDataConfig() [1/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetOutputDataConfig ( const AutoMLOutputDataConfig value)
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 158 of file CreateAutoMLJobRequest.h.

◆ SetOutputDataConfig() [2/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetOutputDataConfig ( AutoMLOutputDataConfig &&  value)
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 164 of file CreateAutoMLJobRequest.h.

◆ SetProblemType() [1/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetProblemType ( const ProblemType value)
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 198 of file CreateAutoMLJobRequest.h.

◆ SetProblemType() [2/2]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetProblemType ( ProblemType &&  value)
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 205 of file CreateAutoMLJobRequest.h.

◆ SetRoleArn() [1/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetRoleArn ( const Aws::String value)
inline

The ARN of the role that is used to access the data.

Definition at line 315 of file CreateAutoMLJobRequest.h.

◆ SetRoleArn() [2/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetRoleArn ( Aws::String &&  value)
inline

The ARN of the role that is used to access the data.

Definition at line 320 of file CreateAutoMLJobRequest.h.

◆ SetRoleArn() [3/3]

void Aws::SageMaker::Model::CreateAutoMLJobRequest::SetRoleArn ( const char *  value)
inline

The ARN of the role that is used to access the data.

Definition at line 325 of file CreateAutoMLJobRequest.h.

◆ SetTags() [1/2]

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

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 388 of file CreateAutoMLJobRequest.h.

◆ SetTags() [2/2]

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

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 394 of file CreateAutoMLJobRequest.h.

◆ TagsHasBeenSet()

bool Aws::SageMaker::Model::CreateAutoMLJobRequest::TagsHasBeenSet ( ) const
inline

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 382 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobConfig() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobConfig ( const AutoMLJobConfig value)
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 294 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobConfig() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobConfig ( AutoMLJobConfig &&  value)
inline

Contains CompletionCriteria and SecurityConfig.

Definition at line 299 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobName() [1/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobName ( const Aws::String value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 78 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobName() [2/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobName ( Aws::String &&  value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 84 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobName() [3/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobName ( const char *  value)
inline

Identifies an Autopilot job. Must be unique to your account and is case-insensitive.

Definition at line 90 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobObjective() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobObjective ( const AutoMLJobObjective value)
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 260 of file CreateAutoMLJobRequest.h.

◆ WithAutoMLJobObjective() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithAutoMLJobObjective ( AutoMLJobObjective &&  value)
inline

Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for problem type is automaically selected.

Definition at line 268 of file CreateAutoMLJobRequest.h.

◆ WithGenerateCandidateDefinitionsOnly()

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithGenerateCandidateDefinitionsOnly ( bool  value)
inline

Generates possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Definition at line 369 of file CreateAutoMLJobRequest.h.

◆ WithInputDataConfig() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithInputDataConfig ( const Aws::Vector< AutoMLChannel > &  value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 121 of file CreateAutoMLJobRequest.h.

◆ WithInputDataConfig() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithInputDataConfig ( Aws::Vector< AutoMLChannel > &&  value)
inline

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.

Definition at line 127 of file CreateAutoMLJobRequest.h.

◆ WithOutputDataConfig() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithOutputDataConfig ( const AutoMLOutputDataConfig value)
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 170 of file CreateAutoMLJobRequest.h.

◆ WithOutputDataConfig() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithOutputDataConfig ( AutoMLOutputDataConfig &&  value)
inline

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Definition at line 176 of file CreateAutoMLJobRequest.h.

◆ WithProblemType() [1/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithProblemType ( const ProblemType value)
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 212 of file CreateAutoMLJobRequest.h.

◆ WithProblemType() [2/2]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithProblemType ( ProblemType &&  value)
inline

Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Definition at line 219 of file CreateAutoMLJobRequest.h.

◆ WithRoleArn() [1/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithRoleArn ( const Aws::String value)
inline

The ARN of the role that is used to access the data.

Definition at line 330 of file CreateAutoMLJobRequest.h.

◆ WithRoleArn() [2/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithRoleArn ( Aws::String &&  value)
inline

The ARN of the role that is used to access the data.

Definition at line 335 of file CreateAutoMLJobRequest.h.

◆ WithRoleArn() [3/3]

CreateAutoMLJobRequest& Aws::SageMaker::Model::CreateAutoMLJobRequest::WithRoleArn ( const char *  value)
inline

The ARN of the role that is used to access the data.

Definition at line 340 of file CreateAutoMLJobRequest.h.

◆ WithTags() [1/2]

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

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 400 of file CreateAutoMLJobRequest.h.

◆ WithTags() [2/2]

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

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Definition at line 406 of file CreateAutoMLJobRequest.h.


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