72 lines
1.6 KiB
Java
72 lines
1.6 KiB
Java
package Presenter.Evaluation;
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import Model.Line;
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import Presenter.Algorithms.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 ScaledErrorBasedMeasure {
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private ArrayList<Double> scaledError;
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public ScaledErrorBasedMeasure(final LinkedList<Line> lines, Double m, Double b){
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//Liste mit den Fehler zu jedem Punkt
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ArrayList<Double> sampson = new ArrayList<>();
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Double denum = 0d;
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for (int i=2;i<lines.size();i++){
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denum += Math.abs(lines.get(i).getM() - lines.get(i-1).getM());
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}
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denum *= 1/(lines.size() - 1);
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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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Double val = e / (denum);
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scaledError.add(val);
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}
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}
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/* Skalierungs Abhängige Approximationsgüten */
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//unterschiedliche Alg.- auf einem Datensatz
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public Double mse() {
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double error = 0;
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for (Double d : scaledError) {
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error += Math.pow(d, 2);
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}
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error /= scaledError.size();
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return error;
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}
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public Double rmse() {
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return Math.sqrt(mse());
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}
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public Double mae() {
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double error = 0;
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for (Double d : scaledError) {
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error += Math.abs(d);
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}
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error /= scaledError.size();
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return error;
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}
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public Double mdae() {
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return FastElementSelector
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.randomizedSelect(scaledError, scaledError.size() * 0.5);
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}
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}
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