Mercurial > dive4elements > river
comparison artifacts/src/main/java/org/dive4elements/river/artifacts/model/fixings/fitting/ChiSquare.java @ 9646:0380717105ba
Implemented alternative fitting strategy for Log-Linear function.
author | Gernot Belger <g.belger@bjoernsen.de> |
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date | Mon, 02 Dec 2019 17:56:15 +0100 |
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9645:eb1a29fe823f | 9646:0380717105ba |
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1 /** Copyright (C) 2017 by Bundesanstalt für Gewässerkunde | |
2 * Software engineering by | |
3 * Björnsen Beratende Ingenieure GmbH | |
4 * Dr. Schumacher Ingenieurbüro für Wasser und Umwelt | |
5 * | |
6 * This file is Free Software under the GNU AGPL (>=v3) | |
7 * and comes with ABSOLUTELY NO WARRANTY! Check out the | |
8 * documentation coming with Dive4Elements River for details. | |
9 */ | |
10 package org.dive4elements.river.artifacts.model.fixings.fitting; | |
11 | |
12 import java.util.Arrays; | |
13 | |
14 import org.apache.commons.math3.exception.MathIllegalArgumentException; | |
15 import org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic; | |
16 import org.apache.commons.math3.stat.descriptive.UnivariateStatistic; | |
17 | |
18 /** | |
19 * @author Gernot Belger | |
20 */ | |
21 final class ChiSquare extends AbstractUnivariateStatistic { | |
22 | |
23 private final double[] observation; | |
24 | |
25 public ChiSquare(final double[] observation) { | |
26 this.observation = observation; | |
27 } | |
28 | |
29 @Override | |
30 public UnivariateStatistic copy() { | |
31 /* stateless, hence we can return this */ | |
32 return this; | |
33 } | |
34 | |
35 @Override | |
36 public double evaluate(final double[] values, final int begin, final int length) throws MathIllegalArgumentException { | |
37 test(values, begin, length, true); | |
38 | |
39 final double[] residualsWeights = new double[length]; | |
40 Arrays.fill(residualsWeights, 0, length - 1, 1.0); | |
41 | |
42 double cost = 0; | |
43 | |
44 for (int i = begin; i < begin + length; i++) { | |
45 final double residual = values[i + begin] - this.observation[i + begin]; | |
46 // final double wresiduals = residual * FastMath.sqrt(residualsWeights[i]); | |
47 cost += residualsWeights[i] * residual * residual; | |
48 } | |
49 | |
50 return cost; | |
51 } | |
52 } |