AWS SDK for C++  1.9.109
AWS SDK for C++
Public Member Functions | List of all members
Aws::ForecastService::Model::GetAccuracyMetricsResult Class Reference

#include <GetAccuracyMetricsResult.h>

Public Member Functions

 GetAccuracyMetricsResult ()
 
 GetAccuracyMetricsResult (const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > &result)
 
GetAccuracyMetricsResultoperator= (const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > &result)
 
const Aws::Vector< EvaluationResult > & GetPredictorEvaluationResults () const
 
void SetPredictorEvaluationResults (const Aws::Vector< EvaluationResult > &value)
 
void SetPredictorEvaluationResults (Aws::Vector< EvaluationResult > &&value)
 
GetAccuracyMetricsResultWithPredictorEvaluationResults (const Aws::Vector< EvaluationResult > &value)
 
GetAccuracyMetricsResultWithPredictorEvaluationResults (Aws::Vector< EvaluationResult > &&value)
 
GetAccuracyMetricsResultAddPredictorEvaluationResults (const EvaluationResult &value)
 
GetAccuracyMetricsResultAddPredictorEvaluationResults (EvaluationResult &&value)
 
const AutoMLOverrideStrategyGetAutoMLOverrideStrategy () const
 
void SetAutoMLOverrideStrategy (const AutoMLOverrideStrategy &value)
 
void SetAutoMLOverrideStrategy (AutoMLOverrideStrategy &&value)
 
GetAccuracyMetricsResultWithAutoMLOverrideStrategy (const AutoMLOverrideStrategy &value)
 
GetAccuracyMetricsResultWithAutoMLOverrideStrategy (AutoMLOverrideStrategy &&value)
 
const OptimizationMetricGetOptimizationMetric () const
 
void SetOptimizationMetric (const OptimizationMetric &value)
 
void SetOptimizationMetric (OptimizationMetric &&value)
 
GetAccuracyMetricsResultWithOptimizationMetric (const OptimizationMetric &value)
 
GetAccuracyMetricsResultWithOptimizationMetric (OptimizationMetric &&value)
 

Detailed Description

Definition at line 30 of file GetAccuracyMetricsResult.h.

Constructor & Destructor Documentation

◆ GetAccuracyMetricsResult() [1/2]

Aws::ForecastService::Model::GetAccuracyMetricsResult::GetAccuracyMetricsResult ( )

◆ GetAccuracyMetricsResult() [2/2]

Aws::ForecastService::Model::GetAccuracyMetricsResult::GetAccuracyMetricsResult ( const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > &  result)

Member Function Documentation

◆ AddPredictorEvaluationResults() [1/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::AddPredictorEvaluationResults ( const EvaluationResult value)
inline

An array of results from evaluating the predictor.

Definition at line 66 of file GetAccuracyMetricsResult.h.

◆ AddPredictorEvaluationResults() [2/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::AddPredictorEvaluationResults ( EvaluationResult &&  value)
inline

An array of results from evaluating the predictor.

Definition at line 71 of file GetAccuracyMetricsResult.h.

◆ GetAutoMLOverrideStrategy()

const AutoMLOverrideStrategy& Aws::ForecastService::Model::GetAccuracyMetricsResult::GetAutoMLOverrideStrategy ( ) const
inline

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Definition at line 82 of file GetAccuracyMetricsResult.h.

◆ GetOptimizationMetric()

const OptimizationMetric& Aws::ForecastService::Model::GetAccuracyMetricsResult::GetOptimizationMetric ( ) const
inline

The accuracy metric used to optimize the predictor.

Definition at line 128 of file GetAccuracyMetricsResult.h.

◆ GetPredictorEvaluationResults()

const Aws::Vector<EvaluationResult>& Aws::ForecastService::Model::GetAccuracyMetricsResult::GetPredictorEvaluationResults ( ) const
inline

An array of results from evaluating the predictor.

Definition at line 41 of file GetAccuracyMetricsResult.h.

◆ operator=()

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::operator= ( const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > &  result)

◆ SetAutoMLOverrideStrategy() [1/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetAutoMLOverrideStrategy ( AutoMLOverrideStrategy &&  value)
inline

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Definition at line 102 of file GetAccuracyMetricsResult.h.

◆ SetAutoMLOverrideStrategy() [2/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetAutoMLOverrideStrategy ( const AutoMLOverrideStrategy value)
inline

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Definition at line 92 of file GetAccuracyMetricsResult.h.

◆ SetOptimizationMetric() [1/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetOptimizationMetric ( const OptimizationMetric value)
inline

The accuracy metric used to optimize the predictor.

Definition at line 133 of file GetAccuracyMetricsResult.h.

◆ SetOptimizationMetric() [2/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetOptimizationMetric ( OptimizationMetric &&  value)
inline

The accuracy metric used to optimize the predictor.

Definition at line 138 of file GetAccuracyMetricsResult.h.

◆ SetPredictorEvaluationResults() [1/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetPredictorEvaluationResults ( Aws::Vector< EvaluationResult > &&  value)
inline

An array of results from evaluating the predictor.

Definition at line 51 of file GetAccuracyMetricsResult.h.

◆ SetPredictorEvaluationResults() [2/2]

void Aws::ForecastService::Model::GetAccuracyMetricsResult::SetPredictorEvaluationResults ( const Aws::Vector< EvaluationResult > &  value)
inline

An array of results from evaluating the predictor.

Definition at line 46 of file GetAccuracyMetricsResult.h.

◆ WithAutoMLOverrideStrategy() [1/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithAutoMLOverrideStrategy ( AutoMLOverrideStrategy &&  value)
inline

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Definition at line 122 of file GetAccuracyMetricsResult.h.

◆ WithAutoMLOverrideStrategy() [2/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithAutoMLOverrideStrategy ( const AutoMLOverrideStrategy value)
inline

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Definition at line 112 of file GetAccuracyMetricsResult.h.

◆ WithOptimizationMetric() [1/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithOptimizationMetric ( const OptimizationMetric value)
inline

The accuracy metric used to optimize the predictor.

Definition at line 143 of file GetAccuracyMetricsResult.h.

◆ WithOptimizationMetric() [2/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithOptimizationMetric ( OptimizationMetric &&  value)
inline

The accuracy metric used to optimize the predictor.

Definition at line 148 of file GetAccuracyMetricsResult.h.

◆ WithPredictorEvaluationResults() [1/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithPredictorEvaluationResults ( Aws::Vector< EvaluationResult > &&  value)
inline

An array of results from evaluating the predictor.

Definition at line 61 of file GetAccuracyMetricsResult.h.

◆ WithPredictorEvaluationResults() [2/2]

GetAccuracyMetricsResult& Aws::ForecastService::Model::GetAccuracyMetricsResult::WithPredictorEvaluationResults ( const Aws::Vector< EvaluationResult > &  value)
inline

An array of results from evaluating the predictor.

Definition at line 56 of file GetAccuracyMetricsResult.h.


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