com.github.signaflo.data.regression.LinearRegressionPrediction Maven / Gradle / Ivy
/*
* Copyright (c) 2017 Jacob Rachiele
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of this software
* and associated documentation files (the "Software"), to deal in the Software without restriction
* including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense
* and/or sell copies of the Software, and to permit persons to whom the Software is furnished to
* do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or
* substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
* PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
* USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* Contributors:
*
* Jacob Rachiele
*/
package com.github.signaflo.data.regression;
import com.github.signaflo.data.DoublePair;
/**
* Prediction from a linear regression model.
*/
public interface LinearRegressionPrediction extends Prediction {
/**
* The standard error of fit for this prediction.
*
* @return the standard error of fit.
*/
double fitStandardError();
/**
* The two-sided confidence interval for this prediction.
*
* @return the two-sided confidence interval.
*/
DoublePair confidenceInterval();
/**
* The two-sided prediction interval for this prediction.
*
* @return the two-sided prediction interval.
*/
DoublePair predictionInterval();
}