/** * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: Apache-2.0. */ #pragma once #include <aws/forecast/ForecastService_EXPORTS.h> namespace Aws { namespace Utils { namespace Json { class JsonValue; class JsonView; } // namespace Json } // namespace Utils namespace ForecastService { namespace Model { /** * <p>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 * <a>CreatePredictor</a> request.</p><p><h3>See Also:</h3> <a * href="http://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/EvaluationParameters">AWS * API Reference</a></p> */ class EvaluationParameters { public: AWS_FORECASTSERVICE_API EvaluationParameters(); AWS_FORECASTSERVICE_API EvaluationParameters(Aws::Utils::Json::JsonView jsonValue); AWS_FORECASTSERVICE_API EvaluationParameters& operator=(Aws::Utils::Json::JsonView jsonValue); AWS_FORECASTSERVICE_API Aws::Utils::Json::JsonValue Jsonize() const; /** * <p>The number of times to split the input data. The default is 1. Valid values * are 1 through 5.</p> */ inline int GetNumberOfBacktestWindows() const{ return m_numberOfBacktestWindows; } /** * <p>The number of times to split the input data. The default is 1. Valid values * are 1 through 5.</p> */ inline bool NumberOfBacktestWindowsHasBeenSet() const { return m_numberOfBacktestWindowsHasBeenSet; } /** * <p>The number of times to split the input data. The default is 1. Valid values * are 1 through 5.</p> */ inline void SetNumberOfBacktestWindows(int value) { m_numberOfBacktestWindowsHasBeenSet = true; m_numberOfBacktestWindows = value; } /** * <p>The number of times to split the input data. The default is 1. Valid values * are 1 through 5.</p> */ inline EvaluationParameters& WithNumberOfBacktestWindows(int value) { SetNumberOfBacktestWindows(value); return *this;} /** * <p>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. * <code>BackTestWindowOffset</code> 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.</p> <p> * <code>ForecastHorizon</code> <= <code>BackTestWindowOffset</code> < 1/2 * * TARGET_TIME_SERIES dataset length</p> */ inline int GetBackTestWindowOffset() const{ return m_backTestWindowOffset; } /** * <p>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. * <code>BackTestWindowOffset</code> 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.</p> <p> * <code>ForecastHorizon</code> <= <code>BackTestWindowOffset</code> < 1/2 * * TARGET_TIME_SERIES dataset length</p> */ inline bool BackTestWindowOffsetHasBeenSet() const { return m_backTestWindowOffsetHasBeenSet; } /** * <p>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. * <code>BackTestWindowOffset</code> 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.</p> <p> * <code>ForecastHorizon</code> <= <code>BackTestWindowOffset</code> < 1/2 * * TARGET_TIME_SERIES dataset length</p> */ inline void SetBackTestWindowOffset(int value) { m_backTestWindowOffsetHasBeenSet = true; m_backTestWindowOffset = value; } /** * <p>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. * <code>BackTestWindowOffset</code> 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.</p> <p> * <code>ForecastHorizon</code> <= <code>BackTestWindowOffset</code> < 1/2 * * TARGET_TIME_SERIES dataset length</p> */ inline EvaluationParameters& WithBackTestWindowOffset(int value) { SetBackTestWindowOffset(value); return *this;} private: int m_numberOfBacktestWindows; bool m_numberOfBacktestWindowsHasBeenSet = false; int m_backTestWindowOffset; bool m_backTestWindowOffsetHasBeenSet = false; }; } // namespace Model } // namespace ForecastService } // namespace Aws