AWS SDK for C++  1.9.73
AWS SDK for C++
Public Member Functions | List of all members
Aws::ForecastService::Model::EvaluationParameters Class Reference

#include <EvaluationParameters.h>

Public Member Functions

 EvaluationParameters ()
 
 EvaluationParameters (Aws::Utils::Json::JsonView jsonValue)
 
EvaluationParametersoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
int GetNumberOfBacktestWindows () const
 
bool NumberOfBacktestWindowsHasBeenSet () const
 
void SetNumberOfBacktestWindows (int value)
 
EvaluationParametersWithNumberOfBacktestWindows (int value)
 
int GetBackTestWindowOffset () const
 
bool BackTestWindowOffsetHasBeenSet () const
 
void SetBackTestWindowOffset (int value)
 
EvaluationParametersWithBackTestWindowOffset (int value)
 

Detailed Description

Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.

See Also:

AWS API Reference

Definition at line 32 of file EvaluationParameters.h.

Constructor & Destructor Documentation

◆ EvaluationParameters() [1/2]

Aws::ForecastService::Model::EvaluationParameters::EvaluationParameters ( )

◆ EvaluationParameters() [2/2]

Aws::ForecastService::Model::EvaluationParameters::EvaluationParameters ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ BackTestWindowOffsetHasBeenSet()

bool Aws::ForecastService::Model::EvaluationParameters::BackTestWindowOffsetHasBeenSet ( ) const
inline

The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.

ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length

Definition at line 88 of file EvaluationParameters.h.

◆ GetBackTestWindowOffset()

int Aws::ForecastService::Model::EvaluationParameters::GetBackTestWindowOffset ( ) const
inline

The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.

ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length

Definition at line 76 of file EvaluationParameters.h.

◆ GetNumberOfBacktestWindows()

int Aws::ForecastService::Model::EvaluationParameters::GetNumberOfBacktestWindows ( ) const
inline

The number of times to split the input data. The default is 1. Valid values are 1 through 5.

Definition at line 45 of file EvaluationParameters.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::ForecastService::Model::EvaluationParameters::Jsonize ( ) const

◆ NumberOfBacktestWindowsHasBeenSet()

bool Aws::ForecastService::Model::EvaluationParameters::NumberOfBacktestWindowsHasBeenSet ( ) const
inline

The number of times to split the input data. The default is 1. Valid values are 1 through 5.

Definition at line 51 of file EvaluationParameters.h.

◆ operator=()

EvaluationParameters& Aws::ForecastService::Model::EvaluationParameters::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ SetBackTestWindowOffset()

void Aws::ForecastService::Model::EvaluationParameters::SetBackTestWindowOffset ( int  value)
inline

The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.

ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length

Definition at line 100 of file EvaluationParameters.h.

◆ SetNumberOfBacktestWindows()

void Aws::ForecastService::Model::EvaluationParameters::SetNumberOfBacktestWindows ( int  value)
inline

The number of times to split the input data. The default is 1. Valid values are 1 through 5.

Definition at line 57 of file EvaluationParameters.h.

◆ WithBackTestWindowOffset()

EvaluationParameters& Aws::ForecastService::Model::EvaluationParameters::WithBackTestWindowOffset ( int  value)
inline

The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.

ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length

Definition at line 112 of file EvaluationParameters.h.

◆ WithNumberOfBacktestWindows()

EvaluationParameters& Aws::ForecastService::Model::EvaluationParameters::WithNumberOfBacktestWindows ( int  value)
inline

The number of times to split the input data. The default is 1. Valid values are 1 through 5.

Definition at line 63 of file EvaluationParameters.h.


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