83 lines
1.9 KiB
Java
83 lines
1.9 KiB
Java
package presenter.evaluation;
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import model.Line;
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import presenter.algorithms.util.FastElementSelector;
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import java.util.ArrayList;
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import java.util.LinkedList;
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/**
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* Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.
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*
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* @Author: Armin Wolf
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* @Email: a_wolf28@uni-muenster.de
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* @Date: 07.09.2017.
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*/
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public class PercentageErrorBasedMeasure {
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private ArrayList<Double> percentageError;
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public PercentageErrorBasedMeasure(final LinkedList<Line> lines, Double m, Double b) {
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ArrayList<Double> sampson = new ArrayList<>();
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for (Line line : lines) {
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Double e = Math.pow(m * line.getM() - line.getB() + b, 2) / (Math.pow(m, 2) + 1);
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sampson.add(e);
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}
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percentageError = new ArrayList<>();
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for (int j = 0; j < sampson.size(); j++) {
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percentageError.add(100 * sampson.get(j) / lines.get(j).getB());
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}
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}
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/* Percentege Error Approximation Measures */
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//verschiedene Eingaben für einen Alg.
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public Double mape() {
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double error = 0;
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for (Double d : percentageError) {
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error += Math.abs(d);
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}
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error /= percentageError.size();
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return error;
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}
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public Double mdape() {
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ArrayList<Double> abs = new ArrayList<>();
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for (Double d : percentageError) {
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abs.add(Math.abs(d));
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}
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return FastElementSelector.randomizedSelect(abs, abs.size() * 0.5);
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}
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public Double rmspe() {
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double error = 0;
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for (Double d : percentageError) {
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error += Math.pow(d, 2);
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}
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error /= percentageError.size();
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return Math.sqrt(error);
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}
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public Double rmdspe() {
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ArrayList squares = new ArrayList();
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for (Double d : percentageError) {
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squares.add(Math.pow(d, 2));
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}
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return Math.sqrt(FastElementSelector.randomizedSelect(squares, squares.size() * 0.5));
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}
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}
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