AWS SDK for C++  1.9.16
AWS SDK for C++
Public Member Functions | List of all members
Aws::MachineLearning::Model::DescribeMLModelsRequest Class Reference

#include <DescribeMLModelsRequest.h>

+ Inheritance diagram for Aws::MachineLearning::Model::DescribeMLModelsRequest:

Public Member Functions

 DescribeMLModelsRequest ()
 
virtual const char * GetServiceRequestName () const override
 
Aws::String SerializePayload () const override
 
Aws::Http::HeaderValueCollection GetRequestSpecificHeaders () const override
 
const MLModelFilterVariableGetFilterVariable () const
 
bool FilterVariableHasBeenSet () const
 
void SetFilterVariable (const MLModelFilterVariable &value)
 
void SetFilterVariable (MLModelFilterVariable &&value)
 
DescribeMLModelsRequestWithFilterVariable (const MLModelFilterVariable &value)
 
DescribeMLModelsRequestWithFilterVariable (MLModelFilterVariable &&value)
 
const Aws::StringGetEQ () const
 
bool EQHasBeenSet () const
 
void SetEQ (const Aws::String &value)
 
void SetEQ (Aws::String &&value)
 
void SetEQ (const char *value)
 
DescribeMLModelsRequestWithEQ (const Aws::String &value)
 
DescribeMLModelsRequestWithEQ (Aws::String &&value)
 
DescribeMLModelsRequestWithEQ (const char *value)
 
const Aws::StringGetGT () const
 
bool GTHasBeenSet () const
 
void SetGT (const Aws::String &value)
 
void SetGT (Aws::String &&value)
 
void SetGT (const char *value)
 
DescribeMLModelsRequestWithGT (const Aws::String &value)
 
DescribeMLModelsRequestWithGT (Aws::String &&value)
 
DescribeMLModelsRequestWithGT (const char *value)
 
const Aws::StringGetLT () const
 
bool LTHasBeenSet () const
 
void SetLT (const Aws::String &value)
 
void SetLT (Aws::String &&value)
 
void SetLT (const char *value)
 
DescribeMLModelsRequestWithLT (const Aws::String &value)
 
DescribeMLModelsRequestWithLT (Aws::String &&value)
 
DescribeMLModelsRequestWithLT (const char *value)
 
const Aws::StringGetGE () const
 
bool GEHasBeenSet () const
 
void SetGE (const Aws::String &value)
 
void SetGE (Aws::String &&value)
 
void SetGE (const char *value)
 
DescribeMLModelsRequestWithGE (const Aws::String &value)
 
DescribeMLModelsRequestWithGE (Aws::String &&value)
 
DescribeMLModelsRequestWithGE (const char *value)
 
const Aws::StringGetLE () const
 
bool LEHasBeenSet () const
 
void SetLE (const Aws::String &value)
 
void SetLE (Aws::String &&value)
 
void SetLE (const char *value)
 
DescribeMLModelsRequestWithLE (const Aws::String &value)
 
DescribeMLModelsRequestWithLE (Aws::String &&value)
 
DescribeMLModelsRequestWithLE (const char *value)
 
const Aws::StringGetNE () const
 
bool NEHasBeenSet () const
 
void SetNE (const Aws::String &value)
 
void SetNE (Aws::String &&value)
 
void SetNE (const char *value)
 
DescribeMLModelsRequestWithNE (const Aws::String &value)
 
DescribeMLModelsRequestWithNE (Aws::String &&value)
 
DescribeMLModelsRequestWithNE (const char *value)
 
const Aws::StringGetPrefix () const
 
bool PrefixHasBeenSet () const
 
void SetPrefix (const Aws::String &value)
 
void SetPrefix (Aws::String &&value)
 
void SetPrefix (const char *value)
 
DescribeMLModelsRequestWithPrefix (const Aws::String &value)
 
DescribeMLModelsRequestWithPrefix (Aws::String &&value)
 
DescribeMLModelsRequestWithPrefix (const char *value)
 
const SortOrderGetSortOrder () const
 
bool SortOrderHasBeenSet () const
 
void SetSortOrder (const SortOrder &value)
 
void SetSortOrder (SortOrder &&value)
 
DescribeMLModelsRequestWithSortOrder (const SortOrder &value)
 
DescribeMLModelsRequestWithSortOrder (SortOrder &&value)
 
const Aws::StringGetNextToken () const
 
bool NextTokenHasBeenSet () const
 
void SetNextToken (const Aws::String &value)
 
void SetNextToken (Aws::String &&value)
 
void SetNextToken (const char *value)
 
DescribeMLModelsRequestWithNextToken (const Aws::String &value)
 
DescribeMLModelsRequestWithNextToken (Aws::String &&value)
 
DescribeMLModelsRequestWithNextToken (const char *value)
 
int GetLimit () const
 
bool LimitHasBeenSet () const
 
void SetLimit (int value)
 
DescribeMLModelsRequestWithLimit (int value)
 
- Public Member Functions inherited from Aws::MachineLearning::MachineLearningRequest
virtual ~MachineLearningRequest ()
 
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 23 of file DescribeMLModelsRequest.h.

Constructor & Destructor Documentation

◆ DescribeMLModelsRequest()

Aws::MachineLearning::Model::DescribeMLModelsRequest::DescribeMLModelsRequest ( )

Member Function Documentation

◆ EQHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::EQHasBeenSet ( ) const
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 190 of file DescribeMLModelsRequest.h.

◆ FilterVariableHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::FilterVariableHasBeenSet ( ) const
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 83 of file DescribeMLModelsRequest.h.

◆ GEHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::GEHasBeenSet ( ) const
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 361 of file DescribeMLModelsRequest.h.

◆ GetEQ()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetEQ ( ) const
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 183 of file DescribeMLModelsRequest.h.

◆ GetFilterVariable()

const MLModelFilterVariable& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetFilterVariable ( ) const
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 60 of file DescribeMLModelsRequest.h.

◆ GetGE()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetGE ( ) const
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 354 of file DescribeMLModelsRequest.h.

◆ GetGT()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetGT ( ) const
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 240 of file DescribeMLModelsRequest.h.

◆ GetLE()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetLE ( ) const
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 411 of file DescribeMLModelsRequest.h.

◆ GetLimit()

int Aws::MachineLearning::Model::DescribeMLModelsRequest::GetLimit ( ) const
inline

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

Definition at line 718 of file DescribeMLModelsRequest.h.

◆ GetLT()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetLT ( ) const
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 297 of file DescribeMLModelsRequest.h.

◆ GetNE()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetNE ( ) const
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 468 of file DescribeMLModelsRequest.h.

◆ GetNextToken()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetNextToken ( ) const
inline

The ID of the page in the paginated results.

Definition at line 675 of file DescribeMLModelsRequest.h.

◆ GetPrefix()

const Aws::String& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetPrefix ( ) const
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 530 of file DescribeMLModelsRequest.h.

◆ GetRequestSpecificHeaders()

Aws::Http::HeaderValueCollection Aws::MachineLearning::Model::DescribeMLModelsRequest::GetRequestSpecificHeaders ( ) const
overridevirtual

◆ GetServiceRequestName()

virtual const char* Aws::MachineLearning::Model::DescribeMLModelsRequest::GetServiceRequestName ( ) const
inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 32 of file DescribeMLModelsRequest.h.

◆ GetSortOrder()

const SortOrder& Aws::MachineLearning::Model::DescribeMLModelsRequest::GetSortOrder ( ) const
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 624 of file DescribeMLModelsRequest.h.

◆ GTHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::GTHasBeenSet ( ) const
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 247 of file DescribeMLModelsRequest.h.

◆ LEHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::LEHasBeenSet ( ) const
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 418 of file DescribeMLModelsRequest.h.

◆ LimitHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::LimitHasBeenSet ( ) const
inline

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

Definition at line 725 of file DescribeMLModelsRequest.h.

◆ LTHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::LTHasBeenSet ( ) const
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 304 of file DescribeMLModelsRequest.h.

◆ NEHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::NEHasBeenSet ( ) const
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 475 of file DescribeMLModelsRequest.h.

◆ NextTokenHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::NextTokenHasBeenSet ( ) const
inline

The ID of the page in the paginated results.

Definition at line 680 of file DescribeMLModelsRequest.h.

◆ PrefixHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::PrefixHasBeenSet ( ) const
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 542 of file DescribeMLModelsRequest.h.

◆ SerializePayload()

Aws::String Aws::MachineLearning::Model::DescribeMLModelsRequest::SerializePayload ( ) const
overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

◆ SetEQ() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetEQ ( Aws::String &&  value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 204 of file DescribeMLModelsRequest.h.

◆ SetEQ() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetEQ ( const Aws::String value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 197 of file DescribeMLModelsRequest.h.

◆ SetEQ() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetEQ ( const char *  value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 211 of file DescribeMLModelsRequest.h.

◆ SetFilterVariable() [1/2]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetFilterVariable ( const MLModelFilterVariable value)
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 106 of file DescribeMLModelsRequest.h.

◆ SetFilterVariable() [2/2]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetFilterVariable ( MLModelFilterVariable &&  value)
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 129 of file DescribeMLModelsRequest.h.

◆ SetGE() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGE ( Aws::String &&  value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 375 of file DescribeMLModelsRequest.h.

◆ SetGE() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGE ( const Aws::String value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 368 of file DescribeMLModelsRequest.h.

◆ SetGE() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGE ( const char *  value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 382 of file DescribeMLModelsRequest.h.

◆ SetGT() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGT ( Aws::String &&  value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 261 of file DescribeMLModelsRequest.h.

◆ SetGT() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGT ( const Aws::String value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 254 of file DescribeMLModelsRequest.h.

◆ SetGT() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetGT ( const char *  value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 268 of file DescribeMLModelsRequest.h.

◆ SetLE() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLE ( Aws::String &&  value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 432 of file DescribeMLModelsRequest.h.

◆ SetLE() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLE ( const Aws::String value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 425 of file DescribeMLModelsRequest.h.

◆ SetLE() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLE ( const char *  value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 439 of file DescribeMLModelsRequest.h.

◆ SetLimit()

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLimit ( int  value)
inline

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

Definition at line 732 of file DescribeMLModelsRequest.h.

◆ SetLT() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLT ( Aws::String &&  value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 318 of file DescribeMLModelsRequest.h.

◆ SetLT() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLT ( const Aws::String value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 311 of file DescribeMLModelsRequest.h.

◆ SetLT() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetLT ( const char *  value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 325 of file DescribeMLModelsRequest.h.

◆ SetNE() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNE ( Aws::String &&  value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 489 of file DescribeMLModelsRequest.h.

◆ SetNE() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNE ( const Aws::String value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 482 of file DescribeMLModelsRequest.h.

◆ SetNE() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNE ( const char *  value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 496 of file DescribeMLModelsRequest.h.

◆ SetNextToken() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNextToken ( Aws::String &&  value)
inline

The ID of the page in the paginated results.

Definition at line 690 of file DescribeMLModelsRequest.h.

◆ SetNextToken() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNextToken ( const Aws::String value)
inline

The ID of the page in the paginated results.

Definition at line 685 of file DescribeMLModelsRequest.h.

◆ SetNextToken() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetNextToken ( const char *  value)
inline

The ID of the page in the paginated results.

Definition at line 695 of file DescribeMLModelsRequest.h.

◆ SetPrefix() [1/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetPrefix ( Aws::String &&  value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 566 of file DescribeMLModelsRequest.h.

◆ SetPrefix() [2/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetPrefix ( const Aws::String value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 554 of file DescribeMLModelsRequest.h.

◆ SetPrefix() [3/3]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetPrefix ( const char *  value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 578 of file DescribeMLModelsRequest.h.

◆ SetSortOrder() [1/2]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetSortOrder ( const SortOrder value)
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 642 of file DescribeMLModelsRequest.h.

◆ SetSortOrder() [2/2]

void Aws::MachineLearning::Model::DescribeMLModelsRequest::SetSortOrder ( SortOrder &&  value)
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 651 of file DescribeMLModelsRequest.h.

◆ SortOrderHasBeenSet()

bool Aws::MachineLearning::Model::DescribeMLModelsRequest::SortOrderHasBeenSet ( ) const
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 633 of file DescribeMLModelsRequest.h.

◆ WithEQ() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithEQ ( Aws::String &&  value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 225 of file DescribeMLModelsRequest.h.

◆ WithEQ() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithEQ ( const Aws::String value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 218 of file DescribeMLModelsRequest.h.

◆ WithEQ() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithEQ ( const char *  value)
inline

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Definition at line 232 of file DescribeMLModelsRequest.h.

◆ WithFilterVariable() [1/2]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithFilterVariable ( const MLModelFilterVariable value)
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 152 of file DescribeMLModelsRequest.h.

◆ WithFilterVariable() [2/2]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithFilterVariable ( MLModelFilterVariable &&  value)
inline

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

  • Name - Sets the search criteria to the contents of MLModel Name.

  • IAMUser - Sets the search criteria to the user account that invoked the MLModel creation.

  • TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel.

  • RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status.

  • MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class.

  • Algorithm - Sets the search criteria to the algorithm that the MLModel uses.

  • TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.

Definition at line 175 of file DescribeMLModelsRequest.h.

◆ WithGE() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGE ( Aws::String &&  value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 396 of file DescribeMLModelsRequest.h.

◆ WithGE() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGE ( const Aws::String value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 389 of file DescribeMLModelsRequest.h.

◆ WithGE() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGE ( const char *  value)
inline

The greater than or equal to operator. The MLModel results will have FilterVariable values that are greater than or equal to the value specified with GE.

Definition at line 403 of file DescribeMLModelsRequest.h.

◆ WithGT() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGT ( Aws::String &&  value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 282 of file DescribeMLModelsRequest.h.

◆ WithGT() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGT ( const Aws::String value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 275 of file DescribeMLModelsRequest.h.

◆ WithGT() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithGT ( const char *  value)
inline

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Definition at line 289 of file DescribeMLModelsRequest.h.

◆ WithLE() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLE ( Aws::String &&  value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 453 of file DescribeMLModelsRequest.h.

◆ WithLE() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLE ( const Aws::String value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 446 of file DescribeMLModelsRequest.h.

◆ WithLE() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLE ( const char *  value)
inline

The less than or equal to operator. The MLModel results will have FilterVariable values that are less than or equal to the value specified with LE.

Definition at line 460 of file DescribeMLModelsRequest.h.

◆ WithLimit()

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLimit ( int  value)
inline

The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.

Definition at line 739 of file DescribeMLModelsRequest.h.

◆ WithLT() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLT ( Aws::String &&  value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 339 of file DescribeMLModelsRequest.h.

◆ WithLT() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLT ( const Aws::String value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 332 of file DescribeMLModelsRequest.h.

◆ WithLT() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithLT ( const char *  value)
inline

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Definition at line 346 of file DescribeMLModelsRequest.h.

◆ WithNE() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNE ( Aws::String &&  value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 510 of file DescribeMLModelsRequest.h.

◆ WithNE() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNE ( const Aws::String value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 503 of file DescribeMLModelsRequest.h.

◆ WithNE() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNE ( const char *  value)
inline

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Definition at line 517 of file DescribeMLModelsRequest.h.

◆ WithNextToken() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNextToken ( Aws::String &&  value)
inline

The ID of the page in the paginated results.

Definition at line 705 of file DescribeMLModelsRequest.h.

◆ WithNextToken() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNextToken ( const Aws::String value)
inline

The ID of the page in the paginated results.

Definition at line 700 of file DescribeMLModelsRequest.h.

◆ WithNextToken() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithNextToken ( const char *  value)
inline

The ID of the page in the paginated results.

Definition at line 710 of file DescribeMLModelsRequest.h.

◆ WithPrefix() [1/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithPrefix ( Aws::String &&  value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 602 of file DescribeMLModelsRequest.h.

◆ WithPrefix() [2/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithPrefix ( const Aws::String value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 590 of file DescribeMLModelsRequest.h.

◆ WithPrefix() [3/3]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithPrefix ( const char *  value)
inline

A string that is found at the beginning of a variable, such as Name or Id.

For example, an MLModel could have the Name 2014-09-09-HolidayGiftMailer. To search for this MLModel, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

Definition at line 614 of file DescribeMLModelsRequest.h.

◆ WithSortOrder() [1/2]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithSortOrder ( const SortOrder value)
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 660 of file DescribeMLModelsRequest.h.

◆ WithSortOrder() [2/2]

DescribeMLModelsRequest& Aws::MachineLearning::Model::DescribeMLModelsRequest::WithSortOrder ( SortOrder &&  value)
inline

A two-value parameter that determines the sequence of the resulting list of MLModel.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Definition at line 669 of file DescribeMLModelsRequest.h.


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